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2. Gestalt switches in Poincaré׳s prize paper: An inspiration for, but not an instance of, chaos.
- Author
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Zuchowski, Lena Christine
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CHAOS theory , *PHYSICS research , *DIFFERENTIABLE dynamical systems , *QUANTUM perturbations , *GENERAL relativity (Physics) - Abstract
I analyse in detail the construction of asymptotic surfaces in Sections 16–19 of Poincaré (1890) , also known as the prize paper. There are two prime reasons for doing so. Firstly, this part of the prize paper contains an interesting argumentative strategy, which I call Poincaré ׳ s gestalt switch . Secondly, it has been claimed that the prize paper contains one of the first descriptions of chaotic motion. I will argue that the latter claim is false, although both the gestalt switches and the graphical representation which Poincaré (1890) chose for the asymptotic surfaces might well have provided the inspiration for later works in chaos theory. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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3. The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.
- Author
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Oladyshkin, Sergey, Praditia, Timothy, Kroeker, Ilja, Mohammadi, Farid, Nowak, Wolfgang, and Otte, Sebastian
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DEEP learning , *POLYNOMIAL chaos , *CHAOS theory , *ARTIFICIAL intelligence , *SIGNAL processing , *SMART structures - Abstract
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical computing, physical modeling, computational science, communication science, and stochastic analysis. Approaches based on Deep Artificial Neural Networks (DANN) are very popular in our days. Depending on the learning task, the exact form of DANNs is determined via their multi-layer architecture, activation functions and the so-called loss function. However, for a majority of deep learning approaches based on DANNs, the kernel structure of neural signal processing remains the same, where the node response is encoded as a linear superposition of neural activity, while the non-linearity is triggered by the activation functions. In the current paper, we suggest to analyze the neural signal processing in DANNs from the point of view of homogeneous chaos theory as known from polynomial chaos expansion (PCE). From the PCE perspective, the (linear) response on each node of a DANN could be seen as a 1st degree multi-variate polynomial of single neurons from the previous layer, i.e. linear weighted sum of monomials. From this point of view, the conventional DANN structure relies implicitly (but erroneously) on a Gaussian distribution of neural signals. Additionally, this view revels that by design DANNs do not necessarily fulfill any orthogonality or orthonormality condition for a majority of data-driven applications. Therefore, the prevailing handling of neural signals in DANNs could lead to redundant representation as any neural signal could contain some partial information from other neural signals. To tackle that challenge, we suggest to employ the data-driven generalization of PCE theory known as arbitrary polynomial chaos (aPC) to construct a corresponding multi-variate orthonormal representations on each node of a DANN. Doing so, we generalize the conventional structure of DANNs to Deep arbitrary polynomial chaos neural networks (DaPC NN). They decompose the neural signals that travel through the multi-layer structure by an adaptive construction of data-driven multi-variate orthonormal bases for each layer. Moreover, the introduced DaPC NN provides an opportunity to go beyond the linear weighted superposition of single neurons on each node. Inheriting fundamentals of PCE theory, the DaPC NN offers an additional possibility to account for high-order neural effects reflecting simultaneous interaction in multi-layer networks. Introducing the high-order weighted superposition on each node of the network mitigates the necessity to introduce non-linearity via activation functions and, hence, reduces the room for potential subjectivity in the modeling procedure. Although the current DaPC NN framework has no theoretical restrictions on the use of activation functions. The current paper also summarizes relevant properties of DaPC NNs inherited from aPC as analytical expressions for statistical quantities and sensitivity indexes on each node. We also offer an analytical form of partial derivatives that could be used in various training algorithms. Technically, DaPC NNs require similar training procedures as conventional DANNs, and all trained weights determine automatically the corresponding multi-variate data-driven orthonormal bases for all layers of DaPC NN. The paper makes use of three test cases to illustrate the performance of DaPC NN, comparing it with the performance of the conventional DANN and also with plain aPC expansion. Evidence of convergence over the training data size against validation data sets demonstrates that the DaPC NN outperforms the conventional DANN systematically. Overall, the suggested re-formulation of the kernel network structure in terms of homogeneous chaos theory is not limited to any particular architecture or any particular definition of the loss function. The DaPC NN Matlab Toolbox is available online and users are invited to adopt it for own needs. • Kernel structure reformulation of deep artificial neural networks in terms of homogeneous chaos theory. • Response on each node of the deep network represented through polynomial chaos expansion. • Orthonormal decomposition mitigates the non-optimal representation while processing the neural signal. • Accounting for high-order effects reflecting simultaneous neural impacts. • Analytical estimation of mean and variance of neural signal on each node is provided. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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4. A chaos control strategy for the fractional 3D Lotka–Volterra like attractor.
- Author
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Naik, Manisha Krishna, Baishya, Chandrali, and Veeresha, P.
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CAPUTO fractional derivatives , *CHAOS theory , *LYAPUNOV exponents , *ATTRACTORS (Mathematics) , *SLIDING mode control , *LYAPUNOV stability - Abstract
In this paper, we have considered a three-dimensional Lotka–Volterra attractor in the frame of the Caputo fractional derivative to examine its dynamics. The theoretical concepts like existence and uniqueness and boundedness of the solution are analyzed. To regulate the chaos in this fractional-order system, we have developed a sliding mode controller and conditions for global stability of the controlled system with and without uncertainties and outside disruptions are derived. The ability of the designed controller is examined in terms of both commensurate and non-commensurate fractional order derivatives for all the aspects. The Lyapunov exponent is the novelty of this paper which is used to illustrate the behavior of the chaos and demonstrate the dissipativeness of the considered chaotic system. We have examined the effect of fractional order derivatives in this system. With the help of numerical simulations, the theoretical claims regarding the impact of the controller on the system are established. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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5. Stochastic configuration networks with chaotic maps and hierarchical learning strategy.
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Qiao, Jinghui and Chen, Yuxi
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LEARNING strategies , *MACHINE learning , *CHAOS theory , *GAUSSIAN distribution , *MATHEMATICAL optimization , *REINFORCEMENT learning - Abstract
Stochastic configuration networks (SCNs) have universal approximation capability and fast modeling properties, which have been successfully employed in large-scale data analytics. Based on SCNs, Stochastic configuration networks with block increments (BSC) use the node block increments mechanism to improve training speed but increase the complexity of the model. This paper presents a parallel configuration method (PCM), develops an extension of the original BSC with chaos theory and proposes stochastic configuration networks with chaotic maps (SCNCM), and establishes a hierarchical learning strategy (HLS) to enhance the compactness and construction speed of the model. Firstly, PCM randomly assigns the input weights w and biases b of hidden layer nodes by using uniform and normal distributions. In PCM, an iterative learning algorithm is intended to generate the scope control set and improve configuration efficiency. Secondly, the paper presents two kinds of stochastic configuration networks with chaotic maps, which are SCNCM-I and SCNCM-II. SCNCM-I adjusts block size by using multiple error values and chaotic maps to improve the training speed. Based on SCNCM-I, SCNCM-II utilizes node removal mechanism to enhance the compactness. Finally, HLS integrates with SCNCM-I, SCNCM-II, and the Harris-hawks optimization algorithm (HHO). The purpose of training is to enhance the training speed and compactness for three algorithms. The experiments are conducted on four benchmark data sets and an industrial application shows its effectiveness. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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6. An infrared and visible light video fusion method based on chaos theory and PID control.
- Author
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Tang, Xiaolin, Wang, Jun, and Dong, Linlu
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CHAOS theory , *VISIBLE spectra , *CLOSED loop systems , *FEATURE extraction , *INFRARED imaging , *QUANTUM chaos - Abstract
• Chaos theory is used to eliminate differences in the feature distribution of images with different modalities. • We propose a structure-aware feature extraction method to retain more features at the detail layer. • In this paper, proportional integral differential (PID) control is introduced into the fusion process. • Fusion experiments and object detection experiments demonstrate the superiority of our method. Differences in the imaging mechanisms of infrared and visible light images lead to differences in the way their visually meaningful gradients are formed. Existing fusion methods use the same feature extractor to extract features from the source video frames, which ignores the differences in the gradients of video frames from different modalities. In this paper, we propose an infrared and visible light video fusion method based on chaos theory and proportional integral differential (PID) control. Firstly, for the Lorentz chaotic system, we give it initial values and parameters, and iterate it to obtain three scrambling sequences, through which the source video frames are scrambled in the rows, columns, and diagonal directions respectively to eliminate their visually meaningful gradients, so that the features extracted are of comparable scales in the same layer, and the fusion process can be carried out in the scale-consistent space. Second, we propose a structure-aware relative total variation feature extraction method (saRTV) for the two-scale decomposition of source video frames, which can transfer more features of source video frames to the detail layer. Then, based on our previous work, this paper introduces PID control to construct a closed-loop control system through transfer function design, controller design and measurement function design. This control system is used to fuse the detail layer, so as to realize the real-time guidance of the source video frames to the fusion process. Experiments on public datasets demonstrate that our method has better performance compared to some state-of-the-art methods. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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7. Stability of nonlinear vibrations induced by rolling force in a precise cold mill system.
- Author
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Sun, Chaofan, Zhao, Wu, Huang, Dan, and Zhang, Hongbin
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LYAPUNOV exponents , *SYSTEM dynamics , *ROLLING-mills , *CHAOS theory , *ECCENTRICS (Machinery) , *DISCRETIZATION methods , *BIFURCATION diagrams - Abstract
• Constructing pseudo-Hamiltonian system, the topology of dynamic motion is able to distinguish whether the system is in chaos. • The fractal process of the attraction basin verifies the chaotic distribution solved by Melnikov function. • Larger force fluctuation leads to the critical point hysteresis of damping and average force occurring bifurcation or chaos. • The quantitative optimal couple of structural with process parameters determine the priority of the parameter control. This paper investigates the stability of horizontal nonlinear vibration of four-high cold mill under the effects of gyro-precession and eccentricity between rolls. The threshold value of chaos about Smale horseshoe commutation is given from Melnikov method, and the correctness of the result is verified by the fractal process of the attraction basin. Through the analyzes of bifurcation, maximum Lyapunov exponents and bi-parameter bifurcation, it is revealed for the effect of different parameters variation on the nonlinear dynamic behavior of horizontal vibration in rolling system. The results show, the fluctuation amplitude of horizontal force increases, the stable domain decreases, and once its value ≥3.5, it is necessary to prefer to the adjustment of parameter-exciting stiffness; meanwhile, it is noticeable that the critical points of damping and average force of the system with bifurcation or chaos appear hysteresis. The evolutions of system dynamics with four pairs of parameter changes confirm the quantitative optimal couple of one structural plus one process parameter in the system. Based on this, we can also find a balance between the average horizontal force and eccentricity, so as to optimize the structural design so that there is a proper and reliable eccentricity between the rolls. The results provide a theoretical reference for service stability and dynamic reliability of the rolling mill system. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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8. Call for papers: Special issue on evolutionary game theory of small groups and their larger societies.
- Author
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Grigolini, Paolo
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GAME theory , *SOCIAL groups , *PSYCHOLOGY , *SOCIOLOGY , *CHAOS theory - Abstract
This is a call for papers that should contribute to the unification of behavioral sciences and team management, focusing on the biological origin of cooperation and swarm intelligence, moving from biology to psychology and from sociology to political science, with the help of the theoretical tools of complex networks. This issue should shed light into the origin of ergodicity breaking and contribute to establishing a connection, still lacking theoretical support, between complexity properties that are expected to be correlated. Examples are: non-Poisson renewal events and multi-fractality; complexity matching and chaos synchronization; criticality and extended criticality of small size systems. Although the emphasis is on systems of small size, and especially on the search of the size maximizing both information transport and cooperation emergence, special attention will be devoted to the interaction between small groups and their larger societies. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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9. Symmetric synchronization behavior of multistable chaotic systems and circuits in attractive and repulsive couplings.
- Author
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Wang, Zhen, Parastesh, Fatemeh, Tian, Huaigu, and Jafari, Sajad
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CHAOS theory , *SYNCHRONIZATION , *CHAOTIC communication , *COUPLING schemes - Abstract
This paper studies the synchronization behavior of multistable chaotic systems with coexisting symmetric attractors. Specifically, the focus is on the attractive and repulsive couplings of the attractors in single-variable couplings. It is shown that in the self-couplings, both attractors have the same synchronization pattern either in the attractive or repulsive coupling. In the cross-couplings, the synchronization pattern of the attractors is dependent on the variables involved in the coupling and the symmetry transformation. If the coupling scheme is defined such that only one of the variables in the coupling participates in the symmetry transformation, the synchronization patterns of the symmetric attractors are symmetric in the attractive and repulsive couplings. The master stability function is applied to four chaotic systems with different symmetry transformations to represent the results. The corresponding chaotic circuit of two coupled symmetric systems is also implemented and their symmetric responses are shown. • Synchronization stability of coexisting symmetric chaotic attractors is investigated. • Coupling is considered to be both attractive and repulsive through single variable. • In self-couplings, symmetric attractors have the same synchronization patterns. • symmetry synchrony is observed if one transformation variable is in the coupling. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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10. Integrated demand response based on household and photovoltaic load and oscillations effects.
- Author
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Cao, Wenxuan, Pan, Xiao, and Sobhani, Behrouz
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ENERGY management , *HOUSEHOLDS , *CHAOS theory , *SEARCH algorithms , *MATHEMATICAL optimization , *FLUCTUATIONS (Physics) , *STOCHASTIC convergence - Abstract
Due to the attractiveness of household gas-electric tools, in this paper, an optimization technique is suggested based on the integrated demand response (IDR) and degree of tolerance for household energy management. The proposed method is mostly used to express the dynamic change in the forms of energy and undetermined variables in the systems, resulting from household and photovoltaic (PV) load. Thermostatically controlled demands include gas-electricity and air conditioning, and cut-able loads include gas-electric stove and washing machine. The interval optimization is modeled for optimizing the operation and greenhouse gas emission costs in multi-purpose systems. The undetermined variables are formulated as interval statistics and the limitations are simplified by degree of tolerance. In order to solve it, the interval optimization technique is converted into certainty optimization with the interval order relationship and the delayed probability degree. Then, the developed grasshopper search algorithm is based on the chaos theory to solve the interval optimization model in order to respond to uncertainty and demands of the users, such that degree of tolerance of cost that is acceptable by users is optimized. Contrary to other optimization algorithms, the grasshopper search algorithm can be combined with other methods. In this paper, the chaos theory is adopted to find a better solution. Since the information is placed in the search space without order, using this technique considerably leads to good convergence speed, precise final solution finding, not being trapped in local minima, lower SD, and robustness. Both methods of IDR and degree of tolerance for the household gas-electric equipment manage to reduce energy consumption by about 25% compared to traditional methods. • Gas-electric equipment is integrated in household energy management. • A novel IDR method in HMES is proposed, while uncontrollable loads are also executed. • To deal with HMES uncertainty with electric equipment, interval optimization is used. • The users' degree of tolerance in HMES with gas-electric equipment is modeled. • New model of the GSA based on chaos theory is introduced. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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11. Existence of homoclinic orbit of Shilnikov type and the application in Rössler system.
- Author
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Ding, Yuting and Zheng, Liyuan
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ORBITS (Astronomy) , *MOUNTAIN pass theorem , *CHAOS theory , *CLINICS - Abstract
In this paper, we modify the methods of Zhou et al. (2004) and Shang and Han (2005) associated with proving the existence of a homoclinic orbit of Shilnikov type. We construct the series expressions of the solution based at a saddle-focus on stable and unstable manifolds, and give the sufficient conditions of the existence of homoclinic orbit and spiral chaos. Then, we consider the Rössler system with the typical parameters under which the system exhibits chaotic behavior. Using our modified method, we verify that there exists a homoclinic orbit of Shilnikov type in the Rössler system with a group of typical parameters, and prove the existence of spiral chaos by using the Shilnikov criterion, and we carry out numerical simulations to support the analytic results. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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12. Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints.
- Author
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Azizi, Mahdi, Aickelin, Uwe, Khorshidi, Hadi A., and Shishehgarkhaneh, Milad Baghalzadeh
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TRUSSES , *STRUCTURAL optimization , *METAHEURISTIC algorithms , *ENGINEERING systems , *STRUCTURAL design , *BENCHMARK problems (Computer science) , *CHAOS theory - Abstract
[Display omitted] • Shape and size Optimization of truss Structures is considered. • Chaos Game Optimization (CGO) is utilized for optimization purposes. • Benchmark 10-bar, 37-bar, 52-bar, 72-bar and 120-bar truss structures are utilized. An engineering system consists of properly established activities and put together to achieve a predefined goal. These activities include analysis, design, construction, research, and development. Designing and constructing structural systems, including buildings, bridges, highways, and other complex systems, have been developed over the centuries. However, the evolution of these systems has been prolonged because the overall process is very costly and time-consuming, requiring primary human and material resources to be utilized. One of the options for overcoming these shortcomings is the utilization of metaheuristic algorithms as recently developed intelligent techniques. These algorithms can be utilized as upper-level search techniques for optimization procedures to achieve better results. Shape and size optimization of truss structures are considered in this paper utilizing the Chaos Game Optimization (CGO) as one of the recently developed metaheuristic algorithms. The principles of chaos theory and fractal configuration are considered inspirational concepts. For the numerical purpose, the 10-bar, 37-bar, 52-bar, 72-bar, and 120-bar truss structures as four of the benchmark problems in this field are considered as design examples in which the frequency constraints are considered as limits that have to be dealt with during the optimization procedure. Multiple optimization runs are also conducted for having a comprehensive statistical analysis, while a comparative investigation is also conducted with other algorithms in the literature. Based on the results of the CGO and other approaches from the literature, the CGO can provide better and competitive results in dealing with the considered truss design problems. In summary, the CGO can provide better solutions in dealing with the considered real-size structural design problems with higher levels of complexity. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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13. Vibration energy harvesting system with cyclically time-varying potential barrier.
- Author
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Margielewicz, Jerzy, Gąska, Damian, Haniszewski, Tomasz, Litak, Grzegorz, Wolszczak, Piotr, Borowiec, Marek, Sosna, Petr, Ševeček, Oldřich, Rubeš, Ondřej, and Hadaš, Zdeněk
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ENERGY harvesting , *POTENTIAL barrier , *PERIODIC motion , *CHAOS theory , *TIME-varying systems , *SOIL vibration , *QUANTUM chaos - Abstract
Nonlinear kinetic energy harvesters are becoming more and more popular as well as advanced and efficient. This paper presents the study of the dynamics of such a system in a wide range of excitation parameters, assuming at the same time the possibility of a cyclical and smooth change of the potential function. We have designed a system that allows to obtain a wide spectrum of potential characteristics, from a single well to a three-well system, and we have analyzed its effectiveness. Next, we checked the influence of parameters characterizing the change of potential using bifurcation diagrams and their comparison with the effective voltage values. We also analyzed the behavior of the system in chaotic and periodic motion zones and presented selected sections of Poincare and Fourier amplitude-frequency spectra of chaotic solutions. The last element of the analysis was the impact of cyclic potential change on coexisting solutions. We have shown that the best effectiveness is achieved when the frequency of the external load is equal to the resonant frequency of the flexible cantilever beam and the change of potential is limited to extreme positions. • A new way of the potential function dynamic change in EH was proposed. • EH effectiveness analysis was made for chaotic and periodic motion zones. • Influence of the range and frequency of potential changes on the dynamics of the system was checked. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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14. Physical implementation of cobalt ferrite memristor in Chua's circuit for chaotic encryption.
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Seetala, Kiran S., Clower, William, Hartmann, Matthew, and Zivanovic, Sandra
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FERRITES , *MEMRISTORS , *COBALT , *LYAPUNOV exponents , *COMPLEMENTARY metal oxide semiconductors , *BIFURCATION diagrams - Abstract
Memory resistor, or memristor, has been realized as a discrete electronic device and has a perspective application in the field of cryptography. The physical implementation of the memristor in chaotic circuits has been scarcely explored. In this paper, a memristor is fabricated by spin-coating a cobalt ferrite precursor on a processed silicon and is then electro-sputtered with silver to act as the anode with the base silicon as the cathode. This fabrication process has a scalability potential in conjunction with integrated circuit fabrication techniques and complementary metal oxide semiconductor (CMOS) technologies. The fabricated cobalt ferrite memristor has shown a ratio between the on and off resistance of >1000 and has been implemented in a chaotic Chua's circuit, making it one of few physical implementations of a physical memristor in a physical circuit. The analysis and characterization of this circuit using bifurcation diagrams and Lyapunov exponent prove the chaotic behavior of a real Chua's circuit. This chaotic behavior can be useful in chaotic cryptography as nonperiodic oscillations can be leveraged to make sensitive information more difficult to interpret by bad actors. [Display omitted] • A memristor is constructed on silicon to make fabrication process more scalable. • The memristor consists of spin-coated cobalt ferrite layer with active electrodes. • The memristor is implemented in Chua's circuit that exhibits chaotic behavior. • Chaotic behavior is proven with bifurcation and Lyapunov exponent analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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15. Chaos-based support vector regression for load power forecasting of excavators.
- Author
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Huo, Dongyang, Chen, Jinshi, and Wang, Tongyang
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PARTICLE swarm optimization , *EXCAVATING machinery , *FORECASTING , *DYNAMIC loads , *PREDICTION models , *CHAOS theory - Abstract
The accurate prediction of digging load serves as a fundamental cornerstone for advancing the development of intelligent and unmanned excavators. Given the complex nonlinear dynamics of digging load, this paper proposes a novel prediction model for excavator load power based on the chaos theory and support vector regression (SVR). The presence of chaos in the dynamic digging load system is detected through phase space reconstruction. SVR is utilized for nonparametric modeling and prediction, with the reconstructed phase space capturing the essential characteristics of excavator load and serving as inputs for SVR. To optimize the hyperparameters, an improved particle swarm optimization (IPSO) algorithm is presented. Excavation experiments conducted under two typical load conditions demonstrate the superiority of the proposed chaos-based IPSO-SVR model in terms of prediction accuracy. This research lays a solid foundation for practical load prediction in industrial excavator settings. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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16. Synchronization of angular velocities of chaotic leader-follower satellites using a novel integral terminal sliding mode controller.
- Author
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Azadmanesh, M., Roshanian, J., Georgiev, K., Todrov, M., and Hassanalian, M.
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ANGULAR velocity , *CHAOS theory , *SYNCHRONIZATION , *INTEGRALS , *STORMS , *TELECOMMUNICATION satellites - Abstract
Synchronization of satellite systems offers numerous advantages, including cost-effectiveness, flexibility, and extended area coverage. However, the presence of chaotic behavior in such systems poses substantial challenges. This paper investigates chaos in satellite systems and proposes a novel approach - the Novel Integral Terminal Sliding Mode (NITSM) controller - specifically designed for synchronizing the angular velocities of chaotic Leader-Follower satellite systems. The NITSM controller leverages limited-time features to eliminate chattering and exhibits remarkable robustness against external disturbances such as cosmic rays and solar storms. MATLAB simulations are conducted to validate the effectiveness of the proposed method, comparing the synchronization error of the NITSM controller with a common approach. The results demonstrate the superior performance of the Novel Integral Terminal Sliding Mode controller, showcasing reduced response time, robust behavior, and a substantial six-fold reduction in angular velocity synchronization error. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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17. Nonlinear combination resonance analysis of parametric-forced excitation for an axially moving piezoelectric rectangular thin plate in thermal- electromechanical coupling field.
- Author
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Li, Zhe, Li, Yi, Yu, HongMiao, and Hu, YuDa
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MULTIPLE scale method , *CHAOS theory , *HAMILTON'S principle function , *RESONANCE , *STOCHASTIC resonance , *ORDINARY differential equations , *OPTICAL resonance - Abstract
• The dynamic model of axially moving piezoelectric rectangular thin plate in thermal-electric-mechanical field is established. • The coupling relationship between thermal-electric-mechanical field and elastic deformation of thin plate are considered. • The influence mechanism on the resonance amplitude under the effects of thermal, force, electric and damping coefficients are clarified. In this paper, the combination resonance of parametric-forced excitation characteristics for an axially moving rectangular piezoelectric plate under a thermal-electromechanical field is studied. Based on Kirchhoff-Love plate theory and Von Karman theory, the transverse vibration governing equations are derived from Hamilton's principle. The equations are discretized to ordinary differential equations by the Galerkin method. Then, the multiple scales method is applied to solve the system combination resonance equation, two different resonance states and corresponding amplitude-frequency response equations are obtained by eliminating the secular term, respectively. Additionally, the stability of the steady-state responses is analyzed by Lyapunov stability. Based on the numerical analysis, the influence of axial velocity, external voltage, central temperature difference, structural damping, and other parameters on nonlinear combination resonance response are investigated. The effect of parameter variation on period-doubling bifurcation and the chaotic motion of the system are also discussed by the system global bifurcation diagram. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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18. Stochastic bifurcation and chaos study for nonlinear ship rolling motion with random excitation and delayed feedback controls.
- Author
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Wang, Mengling, Wei, Zhouchao, Wang, Jiaxi, Yu, Xiang, and Kapitaniak, Tomasz
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CHAOS theory , *RANDOM vibration , *PROBABILITY density function , *STOCHASTIC systems , *BIFURCATION diagrams , *TIME series analysis , *MOTION - Abstract
In this paper, we investigate the stochastic dynamics of a class of nonlinear ship rolling motion with multiplicative noise under both displacement and velocity delay feedback controls. The I t o ˆ -stochastic differential equation for the amplitude and phase of the roll motion is derived using the stochastic center manifold method and stochastic average method. Subsequently, the stochastic stability and bifurcation behaviors of the system are analyzed. Furthermore, using the stationary probability density method, we derive the parameter conditions for the occurrence of stochastic D -bifurcation and stochastic P -bifurcation. We also analyze the properties and shape changes of the system's probability density function under different parameters through numerical simulation. It has been determined that the system exhibits stochastic bifurcation behavior, specifically P -bifurcation and D -bifurcation. The validity of the method is verified by a numerical model. The theoretical chaos threshold of the system is determined using the random Melnikov method, and the impact of delayed feedback parameters on the chaotic motion of the system is analyzed by combining the bifurcation diagram, phase portrait, and time series. • We investigate the stochastic dynamics of a class of nonlinear ship rolling motion with multiplicative noise under both displacement and velocity delay feedback controls. • The Ito-stochastic differential equation for the amplitude and phase of the roll motion is derived using the stochastic center manifold method and stochastic average method. • Using the stationary probability density method, we derive the parameter conditions for the occurrence of stochastic D-bifurcation and stochastic P-bifurcation. • The theoretical chaos threshold is determined using the random Melnikov method. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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19. Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification.
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Galioto, Nicholas and Gorodetsky, Alex Arkady
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SYSTEM identification , *CHAOS theory , *HIDDEN Markov models , *NONLINEAR systems , *LINEAR systems , *PARAMETER estimation - Abstract
This paper considers system identification (ID) of linear and nonlinear non-autonomous systems from noisy and sparse data. We analyze an optimization objective derived from Bayesian inference for the dynamics of hidden Markov models. We then relate this objective to that used in several state-of-the-art approaches for both linear and nonlinear system ID. In the former, we analyze least squares approaches for Markov parameter estimation, and in the latter, we analyze the multiple shooting approach. We demonstrate the limitations of the optimization problems posed by these existing methods by showing that they can be seen as special cases of the proposed optimization objective under certain simplifying assumptions: conditional independence of data and zero model error. Furthermore, we observe that the proposed approach has improved smoothness and inherent regularization that make it well-suited for system ID and provide mathematical explanations for these characteristics' origins. Finally, numerical simulations demonstrate a mean squared error over 8.7 times lower compared to multiple shooting when data are noisy and/or sparse. Moreover, the proposed approach identifies accurate and generalizable models even when there are more parameters than data or when the system exhibits chaotic behavior. • Modeling of model uncertainty with process noise leads to inherent regularization. • Process noise induces objective function smoothness similarly to multiple shooting. • Certain Markov parameter estimation methods treat data as conditionally independent. • Bayesian system ID outperforms state-of-the-art methods on small, noisy datasets. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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20. Chaotic attitude dynamics of a LEO satellite with flexible panels.
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Aslanov, Vladimir S.
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ARTIFICIAL satellite attitude control systems , *PLANAR motion , *CHAOS theory , *ATTITUDE (Psychology) , *RIGID bodies , *PANEL analysis - Abstract
This paper deals with the attitude motion of LEO satellites with deployable side panels designed for passive aerodynamic stabilization in a rarefied atmosphere. The influence of the aerodynamic and gravitational torques on the planar attitude motion near the unstable and stable equilibrium positions is studied. The presence of the unstable equilibrium position and small perturbations such as the oscillations of the flexible panels is the cause of chaos. A critical altitude is found above which the chaos is possible. The equations of planar attitude motion of the satellite with deployed flexible panels are obtained. The chaotic behavior of the system is demonstrated through numerical simulations of the attitude motion of a 3U CubeSat. The results of this paper can be used to analyze the applicability of passive aerodynamic stabilization for LEO satellites. • Planar attitude motion of a LEO satellite with deployable side panels is studied. • The satellite as a rigid body with the flexible appendages is considered. • For a wide range of altitudes, stable and unstable equilibrium positions are found. • The chaotic behavior of the satellite with flexible panel is proven. • It's been shown that flexible panels do not always lead to stabilization of motion. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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21. Improved salp swarm algorithm combined with chaos.
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Tawhid, Mohamed A. and Ibrahim, Abdelmonem M.
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METAHEURISTIC algorithms , *WILCOXON signed-rank test , *PARTICLE swarm optimization , *IMAGE encryption , *ALGORITHMS , *GLOBAL optimization , *ROBUST optimization , *NONLINEAR systems - Abstract
A recently developed metaheuristic optimization algorithm, Salp Swarm Algorithm (SSA), has manifested its capability in solving various optimization problems and many real-life applications. SSA is based on salps' swarming behaviour when finding their way and searching for food in the oceans. Nonetheless, like most metaheuristic algorithms, SSA experiences low convergence and stagnation in local optima and rate. There is a need to enhance SSA to speed its convergence and effectiveness to solve complex problems. In the present study, we will introduce chaos into SSA (CSSA) to increase its global search mobility for robust global optimization. Detailed studies are carried out on real-world nonlinear benchmark systems and CEC 2013 benchmark functions with chaotic map (Tent). Here, the algorithm utilizes a Tent map to tune the salp leaders' attractive movement around food sources. The experimental results, considering both convergence and accuracy simultaneously, demonstrate the effectiveness of CSSA for 12 nonlinear systems and 28 unconstrained optimization problems CEC 2013. Two nonparametric statistical tests, the Friedman test and Wilcoxon Signed-Rank Test, are conducted to show the superiority of CSCA over other states of the art algorithms and our results' significance. • This paper introduces chaos into Salp Swarm Algorithm. • Solve 28 unconstrained optimization problems, CEC and 12 nonlinear systems. • The effectiveness and efficiency of our algorithm are provided. • Experimental results prove superiority of our algorithm over the state-of-the-arts. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
22. A new three-dimensional conservative system with non - Hamiltonian energy and its synchronization application.
- Author
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Yan, Shaohui, Zheng, Bian, Wang, Jianjian, Cui, Yu, Li, Lin, and Jiang, Jiawei
- Subjects
- *
DIGITAL electronics , *HAMILTONIAN systems , *SYNCHRONIZATION , *CHAOS theory , *FIELD programmable gate arrays - Abstract
In this paper, a three-dimensional conservative system is proposed. By analyzing the Hamiltonian energy, it is concluded that it is a non-Hamiltonian conservative system. By changing the values of the parameters b, c, the system presents different attractors. Then, by studying the multiple attractors coexisting of the system under different initial values, it can be found that the system has rich coexistence phenomena by changing the parameters. There are various types of coexistence of systems with chaos and chaos coexistence, periods and periods coexistence and chaos and periods coexistence. In addition, the offset-boosting under parameter control is studied by phase diagram. By studying the complexity of the system at two different initial values, the more complex initial value is chosen as the initial state when the system is synchronized. The analog simulation circuit is implemented using Multisim, the actual digital circuit is implemented with field programmable gate array (FPGA). The Matlab phase diagram, the numerical simulation results and the simulated circuit all agree well, proving the feasibility of the new system. Finally, the system is applied to backstepping synchronization, which lays a foundation for the realization of engineering application. • In this paper, a three-dimensional conservative system is proposed. It is proved to be a non-Hamiltonian three-dimensional conservative system by Hamiltonian energy analysis. • Successful implementation of Multisim simulation and FPGA hardware proved the feasibility of the system. • Through a series of studies, it has been found that conservative systems are more conducive to confidential communication. Therefore, based on this 3D conservative system, the system is applied to backstepping synchronization. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
23. A novel ZNN model for fast synchronisation of chaos systems with external disturbances.
- Author
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Xiao, Lin, Liu, Ping, He, Yongjun, Jia, Lei, and Tao, Juan
- Subjects
- *
CHAOS theory , *CHAOS synchronization , *NOISE - Abstract
External disturbances are always inevitable in complex application scenarios, especially in synchronizing chaotic systems. This paper proposes a noise-restraint zeroing neural network (NRZNN) model to expedite the synchronisation of chaotic systems under external disturbances. Its associative controller is then evolved to suppress the interference of external noise. Theoretical analysis shows that the NRZNN model and its associated controller have inherent robustness. For comparison, the conventional zeroing neural network (CZNN) approach is utilized for the synchronisation of chaotic systems. Numerical comparison results validate the efficiency of the NRZNN model for synchronising chaotic systems under the constant noise disturbance. Moreover, through additional tests, it is found that the proposed NRZNN model can also suppress time-dependent noise during the synchronization of chaotic systems. Finally, the effect on the convergence performance is further investigated by adjusting the values of design parameters. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
24. Chaotic behaviors of an in-plane tethered satellite system with elasticity.
- Author
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Yu, B.S., Tang, Y.N., and Ji, K.
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- *
TETHERED satellites , *CHAOS theory , *RIGID bodies , *SYSTEM dynamics , *DYNAMICAL systems , *TELECOMMUNICATION satellites , *CHAOTIC communication , *QUANTUM chaos - Abstract
The existence and identification of chaos regarding in-plane pitch motions of tethered satellite systems are scientific problems of concern, and are directly related to normal system operations in the station-keeping phase. This paper studies the effect of microamplitude longitudinal oscillation on the occurrence of chaos in a tethered system subjected to atmospheric perturbations. Based on a simplified rod model that considers tether elasticity and satellite masses, the Melnikov method is used to identify a criterion that can predict chaos, and a chaotic zone is further proposed to recognize the relationship between the chaos and system parameters. Then the cell mapping method is used to describe the system's global dynamic behaviors, including chaos. A discrete model of the flexible system that consists of particles connected by massless springs and satellite rigid bodies is structured so that more accurate dynamic simulations can be used to verify the theoretical analysis. Finally, numerical examples demonstrate that the chaotic zone and criterion expression are useful tools for revealing chaos. The relationship between the dynamics and system parameters is also assessed. The results of the simplified model agree with those of the sophisticated model. • A chaotic criterion and a chaotic zone on a tethered satellite system are proposed. • The relationship between the dynamics and system parameters is estimated. • The global dynamic characteristics of the system are revealed via cell mapping. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
25. Light-powered self-sustained chaotic motion of a liquid crystal elastomer-based pendulum.
- Author
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Xu, Peibao, Chen, Yaqi, Sun, Xin, Dai, Yuntong, and Li, Kai
- Subjects
- *
LIQUID crystals , *CRYSTAL whiskers , *MOTION , *PENDULUMS , *CHAOS theory , *CRYSTAL models , *DEGREES of freedom - Abstract
Self-sustained chaotic system based on active materials, where energy is absorbed directly from the environment to maintain one's own motion, furnishes an extensive scope of applications in energy harvesters, encrypted communication, bionic heart devices and other fields. This paper seeks to put forward a self-sustained chaotic pendulum system consisting of a liquid crystal elastomer fiber and a mass sphere under steady illumination. To investigate the self-sustained chaotic behavior of the pendulum system, we combine the dynamic liquid crystal elastomer model with principles of dynamics to establish the corresponding theoretical model of the system. Numerical results suggest that three typical motion modes, namely, static mode, self-sustained oscillation mode and self-sustained chaotic motion mode, are involved in the liquid crystal elastomer pendulum. The self-sustained motion is maintained by the work done by the contraction of the liquid crystal elastomer fiber with a light-blocking coating, which compensates for the energy dissipated by the damping. Furthermore, this study also explores the influences of five system parameters on the motion behavior of the LCE pendulum, and determines the key parameter values for the three distinct motion modes through detailed calculations and bifurcation diagrams. The present research findings demonstrate that introducing a new degree of freedom into the self-sustained periodic vibration system, it is possible to achieve self-sustained chaotic motion, providing significant insights into the development of self-sustained chaotic systems derived from active materials. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
26. Analysis of bifurcation and chaotic behavior of the micro piezoelectric pipe-line robot drive system with stick - slip mechanism.
- Author
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Xing, Jichun, Ning, Chao, Zhi, Yuan, and Howard, Ian
- Subjects
- *
MULTI-degree of freedom , *NONLINEAR dynamical systems , *POINCARE maps (Mathematics) , *PIEZOELECTRIC actuators , *CHAOS theory , *STRUCTURAL optimization - Abstract
• A novel piezoelectric inertial stick-slip driven pipeline robot is proposed to meet the detection requirements. • The main body is hollowed out to reduce mass and install actuators. • The nonlinear dynamics model of the pipeline robot is established, and analysis results for the chaos are obtained. • The occurrence conditions of chaotic behavior are determined, which provides theoretical reference for the design of the robot. Pipeline robots using the conventional driving mode have encountered a bottleneck in miniaturization. To address this problem, a micro piezoelectric pipeline robot based on the inertia stick-slip driving principle is proposed in this paper. The robot is well suited to the inspection needs of micro pipes. However, undesirable design parameters found during the structural optimization phase can lead to unstable operation and reduced load capacity of the robot, and can even cause the drive system to stop with chaotic behavior. Therefore, the nonlinear dynamics model of the four degree of freedom discrete system of the pipeline robot is established. The Runge-Kutta method is used to solve the dynamic response of each nonlinear subsystem. The nonlinear dynamical behavior of the system is analyzed through the bifurcation diagram, time domain diagram, phase diagram, Poincaré map and power spectrum diagram of each subsystem response. The stable operation intervals of the machine and electrical parameters in the drive system are given, and the conditions for the occurrence of chaotic behavior are determined. This research can be applied to most of the drive systems consisting of piezoelectric stacks and flexure hinges. It helps to determine and optimize the structural parameters of the piezoelectric actuator, thus avoiding chaotic behavior and ensuring that the actuator maintains good operational performance. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
27. Extreme multistability of fractional-order hyperchaotic system based on dual memristors and its implementation.
- Author
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Ding, Dawei, Xu, Xinyue, Yang, Zongli, Zhang, Hongwei, Zhu, Haifei, and Liu, Tao
- Subjects
- *
MEMRISTORS , *CHAOS theory , *DIGITAL electronics , *RESISTOR-inductor-capacitor circuits , *TRANSIENTS (Dynamics) , *ANALOG circuits , *ON-chip charge pumps - Abstract
In this paper, a fractional-order hyperchaotic system based on dual memristors is proposed by introducing flux-controlled and charge-controlled memristors into a simple RLC circuit. Dynamics of the hyperchaotic system are investigated using bifurcation diagrams, Lyapunov exponents spectrum (LEs), phase diagrams, time-domain diagrams, spectral entropy (SE) and C 0 complexity. The results show that it has a plane of equilibria and exhibits rich dynamical characteristics, including hyperchaos, homogeneous and heterogeneous extreme multistability. Meanwhile, the transient transition phenomena as well as the effect of parameters on the complexity and chaotic behavior of the system are also studied. Furthermore, the practical implementation of the system is realized through analog and digital circuit. The experimental results validate the correctness of the theoretical analysis and help to make better use of the hyperchaotic system in applications such as secure communications. • A fractional-order hyperchaotic memristive system with infinite equilibrium point is proposed • Compared with integer-order system, the fractional-order system has stronger chaotic characteristics and higher complexity • The system exhibits homogeneous and heterogeneous extreme multistability behavior • The proposed system is implemented by analog circuit and digital circuit [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
28. Chaotic time series prediction based on multi-scale attention in a multi-agent environment.
- Author
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Miao, Hua, Zhu, Wei, Dan, Yuanhong, and Yu, Nanxiang
- Subjects
- *
TIME series analysis , *MULTIAGENT systems , *FORECASTING , *DYNAMICAL systems , *MULTISCALE modeling , *CHAOS theory - Abstract
A new problem at the intersection of multi-agent systems, chaotic time series prediction, and flow map learning is formulated in this paper. The problem involves agents collaborating to track moving targets in chaotic dynamic systems by communicating. Inspired by the multi-scale hierarchical time-stepper (HiTS), a novel Distributed Prediction Network based on Multi-scale Attention (DPNMA) is proposed to fuse predictions from agents at different scales through an enhanced self-attention mechanism. The experimental evaluation demonstrates that DPNMA effectively mitigates cumulative errors and enhances the accuracy and robustness of the predictions, which has important implications for the scenarios where the agents have heterogeneous and constrained capabilities. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
29. Nested mixed-mode oscillations in the forced van der Pol oscillator.
- Author
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Inaba, Naohiko, Okazaki, Hideaki, and Ito, Hidetaka
- Subjects
- *
NONLINEAR oscillators , *ELECTRIC oscillators , *OSCILLATIONS , *NONSTANDARD mathematical analysis , *LIMIT cycles , *CHAOS theory - Abstract
The forced van der Pol oscillator has played a fundamental role in the development of nonlinear science. It is notable that the van der Pol oscillator in the absence of an AC forcing term explains the underlying mechanism that induces limit cycles and relaxation oscillations; the forced van der Pol oscillator was the first electric oscillator that, via measurements of the emitted sound, was inferred to exhibit chaotic behavior (van der Pol and van der Mark, 1927). This oscillator thus had a significant influence on the development of chaos theory. It was subsequently demonstrated, via a nonstandard analysis undertaken in the 1980s, that a canard explosion was present in the dynamics exhibited by this oscillator. In previous works (Inaba and Kousaka, (2020); Inaba et al., (2023)), we established the existence of bifurcation structures that are referred to as nested mixed-mode oscillations (MMOs); these structures are generated by a forced Bonhoeffer–van der Pol (BVP) oscillator. Nested MMOs, despite their complexity, are robust, repeatable, and composed of higher dimensional oscillations. In this study, we show that nested MMOs can also be produced by the forced van der Pol oscillator. This paper is of extreme importance as it demonstrates that nested MMOs are not a phenomenon that can only be observed in specific BVP systems. Based on the fact that nested MMO bifurcations also occur in the forced van der Pol oscillator, this study indicates that nested MMOs could represent a phenomenon that is more widely observed than previously believed. • The van der Pol equation has played significant roles in nonlinear science. • Nested mixed-mode oscillations (MMOs) occur in the forced van der Pol equation. • Nested MMOs are a complex phenomenon that evidently has strong orders. • MMOs are at least doubly nested in the forced van der Pol oscillator. • This work indicates that nested MMOs are a widespread phenomenon. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
30. Stability, bifurcation and chaos of a discrete-time pair approximation epidemic model on adaptive networks.
- Author
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Wang, Xinhe, Wang, Zhen, Lu, Junwei, and Meng, Bo
- Subjects
- *
BASIC reproduction number , *EPIDEMICS , *CHAOS theory - Abstract
Adaptive behavior on networks leads to bifurcation and other special phenomenon, which has been proved for differential systems. In this paper, one will discuss the stability, bifurcation and chaos of the discrete pair epidemic model on adaptive networks, which will bring some new challenges. The stability of the disease free equilibrium and endemic equilibrium with respect to basic reproduction number R 0 is studied. Under certain conditions, as the time step-size increases, flip bifurcation that occurs at the endemic equilibrium is discussed, the period-doubling bifurcation and the chaos phenomenon of the system are exhibited, some figures are provided for illustration. According to the results in this paper, the dynamical behaviors of the discrete model are multitudinous and quite different from the continuous model. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
31. A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding.
- Author
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Ávalos-Ruíz, L.F., Zúñiga-Aguilar, C.J., Gómez-Aguilar, J.F., Cortes-Campos, H.M., and Lavín-Delgado, J.E.
- Subjects
- *
IMAGE encryption , *CHAOS theory , *CHAOS synchronization , *IMAGING systems - Abstract
This paper presents a controller-based synchronization scheme in a leader-follower architecture for chaotic maps of fractional variable-order. The proposed scheme demonstrates successful synchronization of three different chaotic maps through simulation results. The implementation on Arduino UNO boards is used to showcase the relatively low algorithm complexity of the proposed scheme. Additionally, the paper explores a potential application of the proposed scheme in an RGB image encryption system, leveraging the chaotic behavior of the system for pseudo-random sequence generation. The encoding scheme utilizes the complementary property of Deoxyribonucleic acid (DNA) molecule bases. The presented encryption scheme employs the variable-order of the fractional derivative as a key for improved safety. This enhancement improves the methodology resistance against brute-force attacks while maintaining resilience against other cryptoanalysis techniques. • We present a controller-based synchronization scheme. • The proposed scheme demonstrates successful synchronization of chaotic maps. • We implemented the algorithm on Arduino UNO boards. • We explore a potential application in an RGB image encryption system. • The encoding scheme utilizes the Deoxyribonucleic acid (DNA) molecule bases. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
32. Multiscroll chaotic system with sigmoid nonlinearity and its fractional order form with synchronization application.
- Author
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Rajagopal, Karthikeyan, Durdu, Ali, Jafari, Sajad, Uyaroglu, Yilmaz, Karthikeyan, Anitha, and Akgul, Akif
- Subjects
- *
RANDOM number generators , *CHAOS theory , *RANDOM numbers , *SYNCHRONIZATION , *HYPERBOLIC functions , *TANGENT function , *LYAPUNOV exponents , *HYPERBOLIC processes - Abstract
In this paper, a multiscroll snap oscillator with hyperbolic tangent function is proposed. There is no limitation in the number of scrolls and it can be increased by proper choice of a specific function. The Lyapunov exponents of the proposed system are obtained to testify the chaotic behavior of the system. Fractional order multiscroll system is derived from its integer order model by using the Adams–Bashforth–Moulton algorithm. A new scheme is applied in order to investigate the synchronization of the multiscroll systems. The main objective of the paper is to propose a multiscroll attractor and show that the number of scrolls can be controlled by the only nonlinear function. Such systems are less investigated in the literatures and has many real time applications like image and voice encryption, random number generators, chaos based communication systems and so on. • We propose a multiscroll snap oscillator with hyperbolic tan function. • We have demonstrated generating up to five scrolls but not limited to five. The number of scrolls may be increased by proper choice of the multiscroll function. • Fractional order multiscroll system is derived from its integer order model using the Adams-Bashforth-Moulton algorithm. • A new synchronization scheme is derived and presented to synchronize the multiscroll systems. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
33. On n-scrambled sets.
- Author
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Yang, Qigui and Yang, Xiaofang
- Subjects
- *
CHAOS theory - Abstract
This paper investigates n -scrambled sets in the sense of distribution and Li-Yorke, focusing on the equivalence of n -scrambled sets and the existence of uncountable n -scrambled sets. For the equivalence, n -scrambled sets can imply m -scrambled sets in both senses for any 2 ≤ m < n , but their inverses require certain conditions to hold. A method is provided for constructing an uncountable n -scrambled set in the distribution and Li-Yorke senses, which also verifies the equivalence between n -scrambled sets. For the existence, it is shown that distributionally n -scrambled tuples can be derived from the weak specification property (WSP), a 1-periodic and a non-1-periodic point. And the Li-Yorke (n + 1)-scrambled tuple can be characterized by an n -scrambled tuple utilizing the SP. Finally, the uncountable Li-Yorke n -scrambled set is established based on the weak mixing, and the uncountable mean Li-Yorke n -scrambled set is induced by the shadowing and Devaney chaos. • Obtain the equivalence between n -scrambled sets in the distribution and Li-York sense. • Provide a method for constructing an uncountable n -scrambled set in two chaotic senses. • Establish criteria for the existence of n -scrambled set and n -scrambled tuple. • Present a method to induce an n -scrambled tuple by weak specification property. • Build a connection between global and local chaotic behaviors of a dynamical system. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
34. Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics.
- Author
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Racca, Alberto and Magri, Luca
- Subjects
- *
NONLINEAR oscillators , *ROBUST optimization , *RECURRENT neural networks , *NETWORK performance , *DYNAMICAL systems , *NONLINEAR systems , *CHAOS theory - Abstract
An approach to the time-accurate prediction of chaotic solutions is by learning temporal patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing, can accurately predict the chaotic dynamics well beyond the predictability time. Existing studies, however, also showed that small changes in the hyperparameters may markedly affect the network's performance. The overarching aim of this paper is to improve the robustness in the selection of hyperparameters in Echo State Networks for the time-accurate prediction of chaotic solutions. We define the robustness of a validation strategy as its ability to select hyperparameters that perform consistently between validation and test sets. The goal is three-fold. First, we investigate routinely used validation strategies. Second, we propose the Recycle Validation , and the chaotic versions of existing validation strategies, to specifically tackle the forecasting of chaotic systems. Third, we compare Bayesian optimization with the traditional grid search for optimal hyperparameter selection. Numerical tests are performed on prototypical nonlinear systems that have chaotic and quasiperiodic solutions, such as the Lorenz and Lorenz-96 systems, and the Kuznetsov oscillator. Both model-free and model-informed Echo State Networks are analysed. By comparing the networks' performance in learning chaotic (unpredictable) versus quasiperiodic (predictable) solutions, we highlight fundamental challenges in learning chaotic solutions. The proposed validation strategies, which are based on the dynamical systems properties of chaotic time series, are shown to outperform the state-of-the-art validation strategies. Because the strategies are principled – they are based on chaos theory such as the Lyapunov time – they can be applied to other Recurrent Neural Networks architectures with little modification. This work opens up new possibilities for the robust design and application of Echo State Networks, and Recurrent Neural Networks, to the time-accurate prediction of chaotic systems. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
35. Fuzzy modeling of desired chaotic behavior in secure communication systems.
- Author
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Babanli, Kanan and Ortaç Kabaoğlu, Rana
- Subjects
- *
TELECOMMUNICATION systems , *CHAOS theory , *SOFT computing , *FUZZY logic , *TELECOMMUNICATION , *GROUP decision making , *DIGITAL communications - Abstract
Communication technologies play a key role in various fields. Hybrid Soft Computing approaches have significant potential for design and investigation of complex systems. In this paper, we use combination of fuzzy logic and chaos theory to model uncertainty and complexity of a secure communication system. Fuzzy rule base is used to describe dependence of behavior of a chaotic system on its parameters and initial conditions. The rule base is constructed by applying fuzzy clustering to a large data set. The approach is characterized by its relatively low computational complexity due to the use of fuzzy rule base instead of intensive simulations of a fuzzy chaotic system. Complexity of this hybrid fuzzy-chaotic approach assures an increased level of security. Trade-off between complexity and security may be achieved by generation of transmitted information using fuzzy modeling of chaotic behavior. Computer simulations are used to verify feasibility and effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
36. Evolution of fractional-order chaotic economic systems based on non-degenerate equilibrium points.
- Author
-
Zhang, Guoxing, Qian, Pengxiao, and Su, Zhaoxian
- Subjects
- *
ECONOMIC systems , *JACOBI operators , *CHAOS synchronization , *BIFURCATION diagrams , *COORDINATE transformations , *CHAOS theory , *QUANTUM chaos - Abstract
The economic system is an irreversible entropy increase process which is constructed by many elements and is far away from the equilibrium point; and affected by various parameters change, it is quite common that its motion state appears chaotic phenomenon due to instability. The extremely complex and not completely random aperiodic motion form of chaotic phenomenon is strongly sensitive to initial conditions. The development of nonlinear science, especially the emergence and development of chaos and fractal theory, has gradually become a powerful tool for economists to study the complexity, uncertainty and nonlinearity of social economic systems; and some visionary economists began to apply the research results of nonlinear science to economics, which has produced nonlinear economics. On the basis of summarizing and analyzing previous research works, this paper first obtains the non-degenerate equilibrium point of some typical fractional-order chaotic economic systems and transforms the equilibrium points of those systems to the origin through coordinate transformation, and then analyzes the Jacobi matrixes of new systems obtained through coordinate translation, and the parameter conditions of bifurcation in the economic systems are finally given and the numerical simulation of the fractional-order chaotic economic system evolution is carried out through bifurcation diagram, phase diagram and time series diagram. The study results of this paper provide a reference for the further study of the evolution of fractional-order chaotic economic systems with non-degenerate equilibrium points. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
37. A new image encryption algorithm with nonlinear-diffusion based on Multiple coupled map lattices.
- Author
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Wang, Xingyuan, Zhao, Hongyu, and Wang, Mingxu
- Subjects
- *
IMAGE encryption , *CHAOS theory , *ALGORITHMS , *PIXELS - Abstract
Highlights • Multiple coupled map lattices (MCML) was proposed. • The method of nonlinear-diffusion was proposed. • The strategy of simultaneously shuffling and diffusion was adopted. • The proposed scheme only needs one round of encryption to get good effects. • The superior performance of the proposed algorithm was proved by experiments. Abstract This paper proposes a new spatiotemporal chaos system named Multiple coupled map lattices (MCML). The proposed spatiotemporal chaos system has outstanding cryptographic features, which is very suitable for encryption algorithms. Based on this system, this paper proposes a new image encryption algorithm. The proposed algorithm employs the strategy of nonlinear-diffusion for the first time, and simultaneously performs shuffling and diffusion. The ciphertext value of each pixel in the diffusion phase depends on a chaotic interference value, a pixel value of the plain image, and two values of the ciphered image non-adjacent to it. This strategy reduces the correlation between adjacent pixels of the plain image as well as the correlation between the R , G and B components of color image. Theoretical analysis and experimental results prove the high efficiency and security of the proposed algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
38. Partial component synchronization on chaotic networks.
- Author
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Li, Fengbing, Ma, Zhongjun, and Duan, Qichang
- Subjects
- *
NONLINEAR systems , *CHAOS theory , *COMPUTER simulation , *PROBLEM solving , *SYNCHRONIZATION - Abstract
Abstract As for the dynamical networks which consist of some high-dimensional nonlinear systems, the problems that researchers are concerned with are usually the asymptotic convergence on some components (rather than all components) of node's state variables under certain condition. This means that partial component synchronization is more meaningful than identical synchronization in some cases. In this paper, the definition of partial component synchronization is given, and then the problem of partial component synchronization on a class of chaotic dynamical networks is investigated. By using matrix theory, stability theory and the hypothesis that several components in the solution vector of a single uncoupled node are ultimately dissipative, some sufficient conditions on partial component synchronization in the chaotic dynamical networks are derived. Finally, numerical simulations are shown to demonstrate the correctness of the theoretical results. Highlights • Partial component synchronization is a kind of group dynamics behavior weaker than identical synchronization. • In this paper, the definition of partial component synchronization is given, and the stability theory of partial variables is applied to study it. • Several sufficient conditions for partial component synchronization to be realized on the network are derived. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
39. Quickest drift change detection in Lévy-type force of mortality model.
- Author
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Krawiec, Michał, Palmowski, Zbigniew, and Płociniczak, Łukasz
- Subjects
- *
DEATH rate , *PROBLEM solving , *CONTINUOUS functions , *GAUSSIAN processes , *CHAOS theory , *MATHEMATICAL complexes - Abstract
In this paper, we give solution to the quickest drift change detection problem for a Lévy process consisting of both a continuous Gaussian part and a jump component. We consider here Bayesian framework with an exponential a priori distribution of the change point using an optimality criterion based on a probability of false alarm and an expected delay of the detection. Our approach is based on the optimal stopping theory and solving some boundary value problem. Paper is supplemented by an extensive numerical analysis related with the construction of the Generalized Shiryaev-Roberts statistics. In particular, we apply this method (after appropriate calibration) to analyse Polish life tables and to model the force of mortality in this population with a drift changing in time. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
40. Chaos and reverse transitions in stochastic resonance.
- Author
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Liu, Jinming, Mao, Jian, Huang, Bin, and Liu, Peiguo
- Subjects
- *
DELOCALIZATION energy , *WAVE amplification , *CHAOS theory , *STOCHASTIC analysis , *DECISION making - Abstract
Abstract Stochastic resonance is a phenomenon that a weak signal can be amplified and optimized by the assistance of noise in bistable system. There is still not enough research on the mutual interplay among system, noise and signal. In this paper, we study the role of every parameter in nonlinear transfer and discover chaos phenomenon in stochastic resonance. To measure the influence of chaos, a trajectory decision function was proposed. Based on this function, we found two forms of stochastic resonance, clockwise resonance and counterclockwise resonance. Highlights • In this paper, we study the role of every parameter in stochastic resonance and discover chaos phenomenon in it. • A trajectory decision function was proposed to measure the influence of chaos. • Based on this function, we found two forms of stochastic resonance, clockwise resonance and counterclockwise resonance. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
41. Phase trajectories and Chaos theory for dynamical demonstration and explicit propagating wave formation.
- Author
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Ali, Karmina K., Faridi, Waqas Ali, and Tarla, Sibel
- Subjects
- *
HAMILTONIAN systems , *DIFFERENTIABLE dynamical systems , *BOUSSINESQ equations , *DYNAMICAL systems , *CHAOS theory , *DIFFERENTIAL equations - Abstract
This paper is subjected to study the nonlinear integrable model which is the (3+1)-dimensional Boussinesq equation which has a lot of applications in engineering and modern sciences. To find and examine the analytical exact solitary wave solutions of (3+1)-dimensional Boussinesq equation, a modified generalized exponential rational functional method is exerted. As a result, waves, singular periodic, hyperbolic, and trigonometric type solutions are obtained. These acquired solutions are more innovative and encouraging to researchers in their endeavor to study physical marvels. To illustrate how some selected exact solutions propagate, the graphical representation in 2D, Contour, and 3D of those solutions is provided with various parametric values. The considered equation is additionally transformed into the planar dynamical structure by applying the Galilean transformation. All potential phase portraits of the dynamical system are investigated using the theory of bifurcation. The Hamiltonian function of the dynamical system of differential equations is established to see that, the system is conservative over time. The presentation of energy levels through graphics provides valuable insights, and it demonstrates that the model has solutions that can be expressed in closed form. The periodic, quasi-periodic, and chaotic behaviors of the 2D, 3D, and time series are also observable once the dynamical system is subjected to an external force. Meanwhile, the sensitivity of the derived solutions is carefully examined for a range of initial conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
42. Refuge-driven spatiotemporal chaos in a discrete predator-prey system.
- Author
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Zhang, Huayong, Guo, Fenglu, Zou, Hengchao, Zhao, Lei, Wang, Zhongyu, Yuan, Xiaotong, and Liu, Zhao
- Subjects
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PREDATION , *DISCRETE systems , *CHAOS theory , *LYAPUNOV exponents , *BIFURCATION diagrams , *MAXIMUM entropy method , *TOPOLOGICAL entropy , *PHASE diagrams - Abstract
The driving mechanism of spatiotemporal chaos is one of the most important questions in the dynamics of predator-prey systems. In this paper, we investigate the spatiotemporal chaotic behaviors driven by refuge effect and their complexity in a Lotka-Volterra discrete predator-prey system. By choosing refuge effect as the bifurcation parameter, the existence conditions of Neimark-Sacker and flip bifurcations near the stable equilibrium point are analyzed. The bifurcation diagrams, maximum Lyapunov exponents, phase diagrams, diagrams of space-amplitude and space-time, spatial return maps and Kolmogorov-Sinai entropy are used to analyze the complex dynamical behaviors of the system. The results show that the refuge effect has a two-way effect on the stability of the system, and both Neimark-Sacker and flip bifurcations caused by it open the route to chaos. The increase in unpredictability of chaotic attractors makes the system increasingly chaotic characteristics. In addition, the characteristics of spatiotemporal dynamics on the route to chaos are captured. The chaotic behaviors of the system on the two types of bifurcations show transitions among several generic features, including frozen random pattern, defect chaotic diffusion pattern, pattern competition intermittency and fully developed turbulence. Our study promotes the understanding of the complex spatiotemporal dynamics of refuge-driven spatiotemporal chaos in predator-prey systems. • The refuge effect drives spatiotemporal chaos in the predator-prey system. • The system opens the route to chaos through two types of bifurcations. • The characteristics of chaos are captured and four chaotic patterns are found. • It provides a new perspective for future experiments on the refuge effect. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
43. Dynamical investigation and encryption application of a new multiscroll memristive chaotic system with rich offset boosting features.
- Author
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Xin, Zeng-Jun and Lai, Qiang
- Subjects
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IMAGE encryption , *BIFURCATION diagrams , *CHAOS theory , *SYSTEM dynamics , *ALGORITHMS - Abstract
The paper introduces a novel memristive chaotic system characterized by an infinite number of index-2 saddle foci, enabling it to generate multiscroll chaos and exhibit extreme multistability. Bifurcation diagrams, phase portraits and other methods are employed to examine the stabilities of equilibria and complex dynamics. It shows that by modifying the function of memristor, the system can produce multiscroll attractors with varying scroll counts. Furthermore, it can be decomposed into coexisting chaotic attractors at different locations, and this decomposition is influenced by adjustments in parameters and initial values, illustrating the impact of initial-relied and parameter-relied offset boosting. With variations in the parameter, the coexisting chaotic attractors will undergo a bifurcation, ultimately transforming into coexisting periodic attractors. The image encryption application of the system is explored, introducing an efficient chaos-based algorithm applied to encrypt Internet of Medical Things (IoMT) images, followed by a comprehensive performance evaluation. • New memristive system with multiscroll chaos and offset boosting is presented. • Complex dynamics of the system are theoretically and numerically studied. • New chaos-based image encryption algorithm with high security is designed. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
44. An experimental set-up design for synchronization and control of coupled Hindmarsh–Rose neurons with Markov-jump dynamics: A case study on finite-time sliding-mode synchronization.
- Author
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Beyhan, Selami
- Subjects
- *
CHAOS synchronization , *EXPERIMENTAL design , *SYNCHRONIZATION , *CHAOS theory , *ARDUINO (Microcontroller) - Abstract
This paper introduces a real-time experimental set-up design to realize the robust synchronization of chaotic systems with Markov-Jump behavior, where the control law is designed based on a finite-time sliding-mode controller. First, master and slave chaotic systems are designed with the dynamics of biological Hindmarsh–Rose (HR) neurons using electronic circuit elements. In order to create the Markov-Jump behavior, the printed circuit board is adjusted to add or remove the resistors so that it is possible to obtain the time-varying dynamic of a chaotic system in the synchronization process. In the realization of chaotic neurons, Matlab and Multisim environments are used for the simulations, and Proteus software is utilized for the design of PCB layout. The Arduino microcontroller is used for signal processing and closed-loop control, where the states of chaotic neurons are recorded and control signals are produced and applied to the slave chaotic system to be synchronized. The real-time data corresponding to the behavior of the circuits was recorded, and Lyapunov exponents were calculated to check whether the neuron circuits are chaotic or not. Second, a sliding-mode controller (SMC) was designed to guarantee a finite-time convergence of synchronization error where its parameters are optimized using a recently developed efficient optimization method, namely the adolescent-identity search algorithm. Robust finite-time synchronization results with sliding-mode control were recorded in simulation and real-time experiments. Finally, the difficulties encountered in general and unachievable results related to experimental system design and finite-time synchronization are discussed for future studies. • Design of real-time HR neuron circuits with Markov jump dynamics. • Positive Lyapunov exponents of real-time HR neuron circuits. • Finite-time sliding-mode synchronization using analog circuit simulation. • Finite-time sliding-mode synchronization using the experimental set-up. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
45. An explicit Euler–Maruyama method for McKean–Vlasov SDEs driven by fractional Brownian motion.
- Author
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He, Jie, Gao, Shuaibin, Zhan, Weijun, and Guo, Qian
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BROWNIAN motion , *STOCHASTIC differential equations , *FRACTIONAL differential equations , *CHAOS theory - Abstract
In this paper, we establish the theory of propagation of chaos and propose an Euler–Maruyama method for McKean–Vlasov SDEs driven by fractional Brownian motion with Hurst parameter H ∈ (0 , 1 / 2) ∪ (1 / 2 , 1). Meanwhile, upper bounds for errors in the Euler–Maruyama method are obtained. Two numerical examples are demonstrated to verify the theoretical results. • The convergence rates of the numerical method for solving McKean–Vlasov stochastic differential equations driven by fractional Brownian motion with Hurst parameter H ∈ (0 , 1 / 2) ∪ (1 / 2 , 1) are shown. • The corresponding propagation of chaos is obtained. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
46. Image encryption algorithm based on Hilbert sorting vector and new spatiotemporal chaotic system.
- Author
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Zhang, Hangming, Hu, Hanping, and Ding, Weiping
- Subjects
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IMAGE encryption , *INFORMATION technology security , *CRYPTOSYSTEMS , *LYAPUNOV exponents , *ALGORITHMS , *BIFURCATION diagrams , *CHAOS theory - Abstract
• A synchronous-scrambling-diffusion image encryption method is presented based on our new spatiotemporal chaotic system and sorting vector. Experimental results show that our method is more efficient and secure than other algorithms. • Based on the fractal sorting matrix and fractal curve, the Hilbert sorting vector (HSV) is proposed. • HSV is more flexible during applications in the chaotic system with arbitrary lattice numbers and realises the parameter control of the generated sorting number scaling. • The proposed HSV effectively realises the uncertainty of coupling node selection in the spatiotemporal chaotic system, thus improving the chaotic performance of the system and presenting a more stable chaotic state, making the image encryption algorithm more secure and reliable. • Hilbert-sorting-vector coupled map lattice (HSVCML) has the potential to be applied effectively in various fields, such as information security and secure communication. The design of the lattice coupling mode in current spatiotemporal chaotic systems lacks dynamic characteristics. When it is applied to the cryptosystem, its chaotic performance defects weaken the security of the cryptosystem. In this context, it is urgent to design new coupling rules and secure cryptosystems based on fractal and chaos theory. In this paper, a kind of sorting vector based on the fractal sorting matrix and fractal curve, the Hilbert sorting vector (HSV), is proposed creatively, and its iterative generation process is introduced. HSV is irregular and infinitely iterable. According to the requirements of the actual situation, HSV has a flexible adjustment vector length, which improves the multiplicity and efficiency of changing information positions. Then, HSV is used to reconstitute the the interaction of nodes during iteration in a new spatiotemporal chaotic system named Hilbert-sorting-vector coupled map lattice (HSVCML). Using this new sorting vector, the dynamic characteristics of spatiotemporal chaotic systems can be effectively improved. This is proved by comparing their Lyapunov exponent, Kolmogorov-Sinai entropy, bifurcation diagram, and information entropy with the coupled map lattice (CML). Moreover, the rich spatio-temporal behaviours of HSVCML are studied. Therefore, HSVCML is more appropriate for image encryption than CML. Finally, HSV is combined with a spatiotemporal chaotic system to frame an image encryption method. For the purpose of proving the effectiveness and security of this algorithm against different types of attacks, a large number of tests related to security analysis and time complexity analysis are carried out. Simulation results prove that our encryption algorithm is more secure and efficient than the previous algorithms and can resist various attacks. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
47. A novel one-dimensional chaotic map generator and its application in a new index representation-based image encryption scheme.
- Author
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Mansouri, Ali and Wang, Xingyuan
- Subjects
- *
IMAGE encryption , *DIGITAL communications , *IMAGE transmission , *CHAOS theory - Abstract
The fast growth in digital image transmission technologies requires more secure and effective image encryption schemes to provide essential security. In this paper, we present a novel one-dimensional chaotic map amplifier (1-DCMA). The evaluation of the proposed chaotic system shows that the 1-DCMA improve the chaotic behavior, control parameters' structure, and sensitivity of the 1-D chaotic maps used as input. We further implement a chaotic map generated by the 1-DCMA in a new asymmetric image encryption scheme (Amp-Lg-IE). Using the secret key, the proposed encryption algorithm adds rows and implement a new index representation (IR) concept with shifting sequences to manipulate the pixels' positions and values synchronously. Finally, we execute bit-level operations to obtain the ciphered image. The simulation and security analysis prove that the Amp-Lg-IE, in a satisfying time, can encrypt a plain image into an unidentified random-like one with high resistance to different types of threats and attacks. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
48. Chaotic fractal walk trainer for sonar data set classification using multi-layer perceptron neural network and its hardware implementation.
- Author
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Khishe, M., Mosavi, M.R., and Moridi, A.
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MULTILAYER perceptrons , *COMPUTER algorithms , *CHAOS theory , *METAHEURISTIC algorithms , *FIELD programmable gate arrays - Abstract
First, this study proposes the use of the newly developed Stochastic Fractal Search (SFS) algorithm for training MLP NNs to design the evolutionary classifier. Evolutionary classifiers, often experience problems of slow convergence speed, trapping in local minima, and non-real-time classification. This paper also use four chaotic maps to improve the performance of the SFS. This modified version of SFS has been called Chaotic Fractal Walk Trainer (CFWT). To assess the performance of the proposed classifiers, these networks will be evaluated using the two benchmark datasets and a high-dimensional practical sonar dataset. For endorsement, the results are compared to four popular meta-heuristics trainers. The results show that new classifiers suggest better performance than the other benchmark algorithms, in terms of entrapment in local minima, classification accuracy, and convergence speed. This paper also implements the designed classifier on the Filed Programmable Field Array (FPGA) substrate for testing the real-time processing ability of the proposed method. The results of the real application prove that the designed classifiers are applicable to high-dimension challenging problems with unknown search spaces. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
49. Diverse dynamical characteristics across the frequency spectrum of wind speed fluctuations.
- Author
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Drisya, G.V., Asokan, K., and Kumar, K. Satheesh
- Subjects
- *
WIND speed , *FLUCTUATIONS (Physics) , *CHAOS theory , *WAVELETS (Mathematics) , *MATHEMATICAL decomposition - Abstract
Wind speed oscillations are known to exhibit varying characteristics at different time scales. Our recent analysis has shown that a collection of autoregressive models fitted separately on the frequency components of wind speed data can significantly increase the prediction accuracy. In this paper, we report the results of the investigation of dynamical behaviour across a broad frequency spectrum of wind speed measurements. The results show the existence of diverse characteristics such as stochastic, deterministic and chaotic behaviour apart from the variation of the dimensionality of underlying dynamics as well as the degree of fluctuations. It is also demonstrated that a cluster of deterministic models built upon separate frequency components of a wind speed time series can enhance the prediction accuracy by as much as 80%, on the average, consistently for predictions up to 12 h. The comparison shows the definite advantage of deterministic prediction models over autoregressive models. The f-index introduced in this paper to measure the fluctuations of wind speed over a period indicates that the observed seasonal variations of prediction errors can be correlated with changes in the f-index of the component series contributed mostly by the lower scales of decomposition. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
50. Comments on “Shilnikov chaos and Hopf bifurcation in three-dimensional differential system”.
- Author
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Algaba, Antonio, Fernández-Sánchez, Fernando, Merino, Manuel, and Rodríguez-Luis, Alejandro J.
- Subjects
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HOPF bifurcations , *BIFURCATION theory , *DIFFERENTIABLE dynamical systems , *LYAPUNOV exponents , *CHAOS theory - Abstract
In the commented paper, the authors consider a three-dimensional system and analyze the presence of Shilnikov chaos as well as a Hopf bifurcation. On the one hand, they state that the existence of a chaotic attractor is verified via the homoclinic Shilnikov theorem. The homoclinic orbit of this system is determined by using the undetermined coefficient method, introduced by Zhou et al. in [Chen's attractor exists, Int. J. Bifurcation Chaos 14 (2004) 3167–3178], a paper that presents very serious shortcomings. However, it has been cited dozens of times and its erroneous method has been copied in lots of papers, including the commented paper where an even expression for the first component of the homoclinic connection is used. It is evident that this even expression cannot represent the first component of a Shilnikov homoclinic connection, an orbit which is necessarily non-symmetric. Consequently, the results stated in Section 3, the core of the paper, are worthless. On the other hand, the study of the Hopf bifurcation presented in Section 4 is also wrong because the first Lyapunov coefficient provided by the authors is incorrect. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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