76 results on '"Zeng, Zhigang"'
Search Results
52. Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays.
- Author
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Sheng, Yin, Lewis, Frank L., and Zeng, Zhigang
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ARTIFICIAL neural networks , *FUZZY neural networks , *EXPONENTIAL stability - Abstract
This paper is concerned with exponential stabilization for a class of Takagi–Sugeno fuzzy memristive neural networks (FMNNs) with unbounded discrete and distributed time-varying delays. Under the framework of Filippov solutions, algebraic criteria are established to guarantee exponential stabilization of the addressed FMNNs with hybrid unbounded time delays via designing a fuzzy state feedback controller by exploiting inequality techniques, calculus theorems, and theories of fuzzy sets. The obtained results in this paper enhance and generalize some existing ones. Meanwhile, a general theoretical framework is proposed to investigate the dynamical behaviors of various neural networks with mixed infinite time delays. Finally, two simulation examples are performed to illustrate the validity of the derived outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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53. Predictor-Based Extended State Observer for Disturbance Rejection Control of Multirate Systems With Measurement Delay.
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Sun, Jiankun, Liu, Xiangyang, Yang, Jun, Zeng, Zhigang, and Li, Shihua
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LINEAR control systems , *CLOSED loop systems - Abstract
This article investigates the multirate disturbance rejection control problem for linear control systems with mismatched disturbance and measurement delay using predictor-based extended state observer. A new extended state observer together with output predictor is first designed to obtain the estimation values of system state and mismatched disturbance, where output predictor is used to compensate the influences of measurement delay and sampling of output. To attenuate the undesirable influence of mismatched disturbance, we then design a new sampled-data robust controller with disturbance compensation, and the updating rate of the proposed controller is allowed to be different from that of the sensor. Thanks to prediction and disturbance/uncertainty estimation and attenuation techniques, the disturbance rejection property of the resultant closed-loop control systems is enhanced despite the multirate and measurement delay. Some sufficient conditions are presented to ensure the stability property of the resultant control systems. We finally consider the application of the visual servoing control system for an inertially stabilized platform, and the experiment results verify superiorities of the predictor-based disturbance rejection control method proposed in the article. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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54. Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach.
- Author
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Wen, Shiping, Chen, Michael Z. Q., Zeng, Zhigang, Yu, Xinghuo, and Huang, Tingwen
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AUTOMOBILE springs & suspension , *FUZZY control systems , *SLIDING mode control - Abstract
This paper investigates the fuzzy control issue for uncertain active suspension systems via dynamic sliding-mode method. The Takagi–Sugeno fuzzy approach is adopted on the background of the varying masses to describe the prescribed nonlinear system in order to achieve the design targets via the method of sector nonlinearity. This paper employs the dynamic sliding-mode scheme to control nonlinear active suspension systems. In the proposed sliding-mode control scheme, the sliding surface function is formed linearly with the system states and control inputs. Then, a fuzzy dynamic term is utilized to construct the sliding-mode feedback controller. In existing results, the sliding mode is achieved and maintained with no consideration of the system perturbations. Thus, sufficient conditions are proposed to make the sliding surface reachable with the existence of the system perturbations to make the augmented system stable. Finally, simulation results are presented to verify the effectiveness of the proposed schemes. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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55. Prediction Intervals for Landslide Displacement Based on Switched Neural Networks.
- Author
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Lian, Cheng, Philip Chen, C. L., Zeng, Zhigang, Yao, Wei, and Tang, Huiming
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ARTIFICIAL neural networks , *EMERGENCY management , *LANDSLIDE prediction , *MACHINE learning , *K-means clustering - Abstract
Evaluation of uncertainties associated with landslide displacement prediction is essential for improving the reliability of landslide early warning systems. An efficient probabilistic forecasting method for the construction of prediction intervals (PIs) using bootstrap and kernel-based extreme learning machine (ELM) is proposed. To overcome the drawbacks of artificial neural networks (ANNs) in predicting mutational displacement points with time lags, this paper proposes an ANNs switched prediction scheme to construct PIs with a three-stage formulation. In the first stage, K-means clustering is applied to divide the whole training dataset into two sub-training sets: the stationary points and the mutational points. In the second stage, a weighted ELM classifier is applied to construct the switched rules. In the third stage, bootstrap- and kernel-based ELMs are applied to construct candidate PIs for each sub-training set. The final PIs are constructed by switching between these two candidate PIs. The effectiveness of the proposed ANNs switched prediction method has been validated through comprehensive tests using three real-world landslide datasets from the Three Gorges region of China. [ABSTRACT FROM AUTHOR]
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- 2016
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56. Synchronization of Coupled Reaction–Diffusion Neural Networks With Directed Topology via an Adaptive Approach.
- Author
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Zhang, Hao, Sheng, Yin, and Zeng, Zhigang
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ARTIFICIAL neural networks , *COUPLING reactions (Chemistry) , *SYNCHRONIZATION , *ALGEBRAIC topology , *DIFFUSION control - Abstract
This paper investigates the synchronization issue of coupled reaction–diffusion neural networks with directed topology via an adaptive approach. Due to the complexity of the network structure and the presence of space variables, it is difficult to design proper adaptive strategies on coupling weights to accomplish the synchronous goal. Under the assumptions of two kinds of special network structures, that is, directed spanning path and directed spanning tree, some novel edge-based adaptive laws, which utilized the local information of node dynamics fully are designed on the coupling weights for reaching synchronization. By constructing appropriate energy function, and utilizing some analytical techniques, several sufficient conditions are given. Finally, some simulation examples are given to verify the effectiveness of the obtained theoretical results. [ABSTRACT FROM PUBLISHER]
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- 2018
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57. A Self-Reproduction Hyperchaotic Map With Compound Lattice Dynamics.
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Li, Yongxin, Li, Chunbiao, Zhang, Sen, Chen, Guanrong, and Zeng, Zhigang
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LATTICE dynamics , *CHAOTIC communication - Abstract
In this article, sinusoidal functions are introduced to a discrete map for hyperchaos generation and attractor self-reproduction. The constructed map shares a unique structure with controllable symmetry and conditional symmetry, which exhibits compound lattice dynamics, including 1-D and 2-D attractor growth. The direction of attractor growth can be controlled under polarity balance. STM32-based circuit realization verifies the results with numerical simulation and theoretical analysis. A pseudorandom number generator is built finally based on the newly proposed hyperchaotic map proving the high performance in application. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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58. Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays.
- Author
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Wen, Shiping, Yu, Xinghuo, Zeng, Zhigang, and Wang, Jinjian
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ELECTRIC power system control , *ELECTRICAL load , *PERFORMANCE evaluation , *TIME delay systems , *FUNCTIONAL analysis - Abstract
This paper studies the load frequency control (LFC) for power systems with communication delays via an event-triggered control method to reduce the amount of communications required. The effect of the load disturbances on the augmented output is defined as a robust performance index of the augmented LFC scheme. By utilizing a time-delayed system design approach, a new model of the LFC scheme with delays is formulated, where the communication delays and event-triggered control are integrated for the LFC scheme. Based on the Lyapunov–Krasovskii functional method, the criteria for the event-triggered stability analysis and control synthesis of the LFC scheme are derived. Finally, the effectiveness of the proposed method is verified by simulation studies. [ABSTRACT FROM PUBLISHER]
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- 2016
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59. Generating Any Number of Initial Offset-Boosted Coexisting Chua’s Double-Scroll Attractors via Piecewise-Nonlinear Memristor.
- Author
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Zhang, Sen, Li, Chunbiao, Zheng, Jiahao, Wang, Xiaoping, Zeng, Zhigang, and Peng, Xuenan
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IMAGE encryption , *GATE array circuits , *LYAPUNOV exponents , *ATTRACTORS (Mathematics) , *MEMRISTORS , *CONFIDENTIAL communications , *BIFURCATION diagrams - Abstract
Due to the natural nonlinearity and unique memory characteristics, memristors are promising candidates for the construction of multiscroll attractors having better application potential in the field of information encryption than the traditional double-scroll attractors. This article proposes a novel memristive multidouble-scroll Chua’s system (MMDSCS) via coupling a nonideal flux-controlled memristor with multipiecewise-linear memductance function in Chua’s system directly. Specially, any number of multidouble-scroll chaotic attractors can be generated through adjusting the internal parameters of the memristor conveniently and without changing the original system’s nonlinearity. Moreover, the amount of double scrolls is also closely related to the strength of the memristive coupling. Another striking highlight is that infinite initial offset-boosted coexisting Chua’s double-scroll attractors with the same shape are produced with the variation of the memristor initial conditions, indicating the emergence of an intriguing phenomenon of homogeneous extreme multistability. This unique property and its formation mechanism are investigated in detail using phase portraits, bifurcation diagrams, Lyapunov exponents, time series, and attraction basins. Furthermore, hardware experiments based on the field-programmable gate array are carried out to confirm the numerical simulations. Finally, an image encryption scheme is designed based on the memristor initial offset boosting dynamics from a perspective of engineering application. In comparison with the existing memristive Chua’s systems, the proposed MMDSCS has many merits, such as multidouble-scroll attractors, memristor initial-controlled chaotic sequences with controllability, good robustness, and high security performance, which is more practical in applications involving information confidential communication. [ABSTRACT FROM AUTHOR]
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- 2022
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60. Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor - Part II.
- Author
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Huang, Tingwen, Chen, Yiran, Zeng, Zhigang, and Chua, Leon
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MEMRISTORS , *MOORE'S law , *NEURAL circuitry , *CIRCUIT elements , *BIRTHDAYS , *FUZZY neural networks - Abstract
In 1971, Dr. Leon Chua, known as the father of nonlinear circuits and cellular neural networks, postulated the existence of memristor, a portmanteau of memory resistor, in his seminal paper: “Memristor—The missing circuit element” published in IEEE Transactions on Circuit Theory, the predecessor of IEEE Transactions on Circuits and Systems—I: Regular Papers. In 2008, Hewlett-Packard researchers made nanomemristor devices for the first time, setting off an upsurge of memristor research. The emergence of nanomemristor devices is expected to realize nonvolatile RAM. Moreover, the integration, power consumption, and read–write speed of the RAM based on memristor are superior to those of traditional RAMs. The hardware network based on memristor synaptic devices is an important development direction of neuromorphic computing. It is a powerful technical candidate to break through the traditional von Neumann computing architecture in the post-Moore era, which will provide a feasible scheme about a technological breakthrough for surpassing Moore’s law. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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61. Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor—Part I.
- Author
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Huang, Tingwen, Chen, Yiran, Zeng, Zhigang, and Chua, Leon
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MEMRISTORS , *NEURAL circuitry , *NANOELECTROMECHANICAL systems , *CIRCUIT elements , *ELECTRIC circuits , *CIRCLE - Abstract
In 1971, Dr. Leon Chua, known as the father of nonlinear circuits and cellular neural networks, postulated the existence of memristor, a portmanteau of memory resistor, in his seminal paper: Memristor-the missing circuit element published in IEEE Transactions on Circuit Theory, the predecessor of IEEE Transactions on Circuits and Systems. Thirty-seven years after he predicted its existence, in the May 1 (2008) issue of the journal Nature, a team at HP Labs led by the scientist R. S. Williams proved that the memristor was real by formulating a physics-based model of a memristor and build nanoscale devices in their lab that demonstrate all of the necessary operating characteristics. Since then, the extensive interest of academic and industrial circles on neuromorphic computing based on memristor has been skyrocketed. Moreover, the unusual electrical properties of circuits and systems based on memristor can mimic the functionalities of the human brain, and can provide an in-depth understanding of key design implications of memristor-based memories, such as learning and anticipating. As a result, neuromorphic computing based on memristor is expected to bring significant breakthrough in dynamic neuromorphic memories, memristor-based resistive RAM, non-volatile memory technology, and so on. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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62. Finite-Time Stabilization and Energy Consumption Estimation for Delayed Nonlinear Systems.
- Author
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Zhu, Song, Chen, Chongyang, Yang, Chunyu, Fu, Jun, and Zeng, Zhigang
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NONLINEAR systems , *STABILITY of nonlinear systems , *NONLINEAR estimation , *ESTIMATION theory - Abstract
This article concentrates on finite-time stabilization and energy consumption estimation for nonlinear systems with and without delay. By constructing an appropriate controller and utilizing inequality techniques, sufficient conditions are proposed to guarantee the finite-time stability of the delayed nonlinear system. Furthermore, the energy consumption produced in system controlling is estimated by inequality techniques. Then, we formulate similar results for the delay-free case. Finally, numerical examples are presented to demonstrate the effectiveness of our theoretical results. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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63. Unmanned Aerial Vehicle Recognition of Maritime Small-Target Based on Biological Eagle-Eye Vision Adaptation Mechanism.
- Author
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Duan, Haibin, Xu, Xiaobin, Deng, Yimin, and Zeng, Zhigang
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DRONE aircraft , *AERONAUTICAL navigation , *VISION , *OBJECT recognition (Computer vision) , *PHYSIOLOGICAL adaptation , *ALGORITHMS , *PERIPHERAL vision - Abstract
Inspired by the background adaptive mechanism of eagle vision in different hunting environment, a biological eagle-eye vision adaptation mechanism algorithm is proposed for unmanned aerial vehicle (UAV) to detect the long-distance maritime small target in complex and changeable sea environment. First, the various environment adjustment abilities are summarized according to the physiological structures and characteristics of eagle vision. Second, the mathematical models of glaring adaptation, dim adaptation, color adaptation, and the background adaptation are established based on the background adaptation mechanisms of eagle vision. Last but not least, our proposed biological eagle-eye vision adaptation method and other five comparative experiments are implemented in different scenes, such as dazzling, cloudy, dusk, etc. The results of various evaluation indices show that the information of maritime small target is retained satisfactorily and the background of sea or sky is restrained effectively by the proposed algorithm. The maritime small target detection algorithm can be used for the vision system of UAV operating on the sea. It provides a feasible solution for UAV's remote vision autonomous navigation in changeable sea environment. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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64. Second-Order Consensus of Hybrid Multiagent Systems.
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Su, Housheng, Wang, Xin, Chen, Xia, and Zeng, Zhigang
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MULTIAGENT systems , *HYBRID systems , *ALGORITHMS , *EIGENVALUES , *DISTRIBUTED algorithms , *GRAPH theory - Abstract
This article studies the consensus of hybrid second-order multiagent systems (MASs), where the hybrid MAS is constituted by the continuous-time second-order (CTSO) and discrete-time second-order (DTSO) dynamic agents. First, a hybrid consensus algorithm is proposed, where a sample-data control is considered in the CTSO subsystems. Under the proposed hybrid consensus algorithm, the convergence of the hybrid second-order MAS matrix is analyzed. Second, a sufficient and necessary condition is proposed, which indicates that the controller parameters, such as coupling gains and the sampling interval, and eigenvalues of network topology have a significant impact on the system consensus. Finally, several simulation examples are presented to prove the validity of the results. [ABSTRACT FROM AUTHOR]
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- 2021
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65. Generating Any Number of Diversified Hidden Attractors via Memristor Coupling.
- Author
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Zhang, Sen, Li, Chunbiao, Zheng, Jiahao, Wang, Xiaoping, Zeng, Zhigang, and Chen, Guanrong
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ATTRACTORS (Mathematics) , *NUMERICAL analysis , *NONLINEAR analysis , *NONLINEAR functions , *MEMRISTORS , *SYSTEM dynamics - Abstract
Memristors are widely used to construct multi-scroll/wing chaotic systems with complex dynamics. However, the generation of a multi-scroll/wing attractor is typically not induced by the memristor but depends on other nonlinear functions in the system, which does not take advantage of the unique features of the memristor for chaos-based applications. To address this issue, the present paper introduces a memristor coupling (MC) method to construct a novel memristive Sprott A system (MSAS) through coupling a flux-controlled memristor with multi-piecewise linear memductance into the chaotic Sprott A system. From theoretical analysis and numerical simulations, the MSAS is shown to be able to generate any number of multi-type hidden attractors, including multi-one-scroll, multi-double-scroll and multi-double-wing hidden attractors. In addition, it has two kinds of multistabilities, that is, heterogeneous multistability and homogeneous multistability. Based on these unique properties, different numbers of coexisting heterogeneous hidden attractors and coexisting homogeneous hidden attractors are derived respectively by switching the memristor initial states. These interesting dynamical properties are comprehensively investigated using nonlinear analysis tools. Furthermore, hardware experiments are implemented to demonstrate the feasibility of the MSAS and the effectiveness of the MC method. Finally, a new pseudo-random number generator (PRNG) is proposed to explore the practical applications of the MSAS. Performance evaluation results verify the high-quality randomness of the designed PRNG. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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66. Memristive LSTM Network for Sentiment Analysis.
- Author
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Wen, Shiping, Wei, Huaqiang, Yang, Yin, Guo, Zhenyuan, Zeng, Zhigang, Huang, Tingwen, and Chen, Yiran
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SENTIMENT analysis , *TANGENT function , *HYPERBOLIC functions , *UNIT cell , *MICROBLOGS - Abstract
This paper presents a complete solution for the hardware design of a memristor-based long short-term memory (MLSTM) network. Throughout the design process, we fully consider the external and internal structures of the long short-term memory (LSTM), both of which are efficiently implemented by memristor crossbars. In the specific design of the internal structure, the parameter sharing mechanism is used between the LSTM cells to minimize the hardware design scale. In particular, we designed a circuit that requires only one memristor crossbar for each unit in the LSTM cell. The activation function, including sigmoid and tanh (hyperbolic tangent function), involved in each unit is approximated by a piecewise function, which is designed with the corresponding hardware. To verify the effectiveness of the system we designed, we test it on IMDB and SemEval datasets. Considering the huge impact of the dimensions of the input data on the scale of the hardware design, we use word2vector instead of one-hot encoding for the input data encoding. With the parameter sharing mechanism, the transformed vectors are input in different periods, so only 65 memristive crossbars are needed in the entire system to complete the sentiment analysis of the input text. The experimental results verify the effectiveness of our proposed MLSTM system. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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67. Optimizing Pinning Control of Complex Dynamical Networks Based on Spectral Properties of Grounded Laplacian Matrices.
- Author
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Liu, Hui, Xu, Xuanhong, Lu, Jun-An, Chen, Guanrong, and Zeng, Zhigang
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LAPLACIAN matrices , *INFORMATION networks , *SYMMETRIC matrices , *EIGENVALUES , *ELECTRIC network topology - Abstract
Pinning control of a complex network aims at forcing the states of all nodes to track an external signal by controlling a small number of nodes in the network. In this paper, an algebraic graph-theoretic condition is introduced to optimize pinning control. When individual node dynamics and coupling strength of the network are given, the effectiveness of pinning scheme can be measured by the smallest eigenvalue of the grounded Laplacian matrix obtained by deleting the rows and columns corresponding to the pinned nodes from the Laplacian matrix of the network. The larger this smallest eigenvalue, the more effective the pinning scheme. Spectral properties of the smallest eigenvalue are analyzed using the network topology information, including the spectrum of the network Laplacian matrix, the minimal degree of uncontrolled nodes, the number of edges between the controlled node set and the uncontrolled node set, etc. The identified properties are shown effective for optimizing the pinning control strategy, as demonstrated by illustrative examples. Finally, for both scale-free and small-world networks, in order to maximize their corresponding smallest eigenvalues, it is better to pin the nodes with large degrees when the percentage of pinned nodes is relatively small, while it is better to pin nodes with small degrees when the percentage is relatively large. This surprising phenomenon can be explained by one of the theorems established. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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68. A Robust Point Set Registration Approach With Multiple Effective Constraints.
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Sun, Jing, Sun, Zhan-Li, Lam, Kin-Man, and Zeng, Zhigang
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EXPECTATION-maximization algorithms , *POINT set theory , *GAUSSIAN mixture models , *AFFINE transformations , *RECORDING & registration , *HILBERT space - Abstract
How to accurately register point sets still remains a challenging task, due to some unfavorable factors. In this article, a robust point set registration approach is proposed based on the Gaussian mixture model (GMM) with multiple effective constraints. The GMM is established by wrapping a model point set to a target point set, via a spatial transformation. Instead of a displacement model, the spatial transformation is decomposed as two types of transformations, an affine transformation and a nonaffine deformation. For the affine transformation, a constraint term of the parameter vector is applied to improve the robustness and efficiency. In order to enforce the smoothness, the square norm of the kernel Hilbert space is adopted as a coherent constraint for the nonaffine deformation. Moreover, the manifold regularization is utilized as a constraint in the proposed model, to capture the spatial geometry of point sets. In addition, the expectation-maximization algorithm is developed to solve the unknown variables of the proposed model. Compared to the state-of-the-art approaches, the proposed model is more robust to deformation and rotation, due to the use of multiple effective constraints. Experimental results on several widely used data sets demonstrate the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]
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- 2020
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69. Prescribed Performance Controller Design for DC Converter System With Constant Power Loads in DC Microgrid.
- Author
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Xu, Xingchen, Liu, Qingshan, Zhang, Chuanlin, and Zeng, Zhigang
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MICROGRIDS , *DYNAMIC loads , *POWER electronics , *CASCADE converters , *VOLTAGE control - Abstract
In this paper, a composite prescribed performance control strategy is developed for stabilizing dc/dc boost converter feeding constant power loads. First, by employing the exact feedback linearization technique, the nonlinear uncertain dc converter system is first transformed into the Brunovsky’s canonical form. Then, a nonlinear disturbance observer is utilized to evaluate the dynamic change of load power and the accuracy of output voltage regulated by feedforward compensation. Next, the prescribed performance controller is elaborately designed to ensure that the tracking error of output voltage is always within the margin of predefined error bounds. Based on the backstepping design approach, the composite nonlinear controller with prescribed performance is determined. Finally, the numerical simulation results are presented to demonstrate the tracking performance of the proposed controller. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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70. Memristor-Based Echo State Network With Online Least Mean Square.
- Author
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Wen, Shiping, Hu, Rui, Yang, Yin, Huang, Tingwen, Zeng, Zhigang, and Song, Yong-Duan
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ARTIFICIAL neural networks , *LEAST squares , *WEIGHT training , *BIOLOGICAL neural networks , *ECHO - Abstract
In this paper, we propose a novel computational architecture of memristor-based echo state network (MESN) with the online least mean square (LMS) algorithm. Newman and Watts small-world network is adopted for the topological structure of MESN network with memristive neural synapses. In the MESN network, the state matrix of the reservoir layer, which is obtained by raising the dimension of input data, is utilized as an input of the LMS algorithm to train the output weight matrix on chip. After certain iterations, the resistance value of memristor is adjusted to a constant. Thus, the final weight output matrix is obtained. To verify the effectiveness of the proposed MESN network, car evaluation and short-term power load forecasting are employed with the effect evaluation of the node number and the connectivity degree of the reservoir layer. The research provides a novel way to design neuromorphic computing systems. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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71. A Versatile Pulse Control Method to Generate Arbitrary Multidirection Multibutterfly Chaotic Attractors.
- Author
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Hong, Qinghui, Li, Ya, Wang, Xiaoping, and Zeng, Zhigang
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NONLINEAR functions , *NUMERICAL analysis , *ATTRACTORS (Mathematics) , *JACOBIAN matrices , *CHAOTIC communication , *COMPUTER simulation - Abstract
In order to overcome the essential difficulties in conventional nonlinear control with iteratively adjusting multiple parameters, a novel method for designing multidirection multibutterfly chaotic attractors (MDMBCAs) without reconstructing nonlinear functions is proposed. By using a unified pulse control in a modified Lorenz system, a family of complete multibutterfly attractors can be produced, including 1-D, 2-D, and 3-D multibutterfly attractors. Theoretical analysis and numerical simulations show that arbitrary MDMBCA all can be generated by conducting the pulse-control in corresponding state variable direction (1-D), plane (2-D), or space (3-D). Meanwhile, the number of butterfly attractors can be controlled with the number of pulsed excitation. Furthermore, we design a module-based unified realization circuit and arbitrary MDMBCA can be obtained by selecting corresponding pulsed-excitation. Our theoretical analysis, MATLAB simulations and circuit experiments together show the effectiveness and universality of the proposed methodology. It should be especially pointed out that the proposed method is a universal scheme and can be applied in the arbitrary double-wing chaotic system. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
72. Generating Realistic Videos From Keyframes With Concatenated GANs.
- Author
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Wen, Shiping, Liu, Weiwei, Yang, Yin, Huang, Tingwen, and Zeng, Zhigang
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VIDEO compression , *VIDEO surveillance , *VIDEOS , *MOTION capture (Human mechanics) , *COST functions , *HUMAN behavior - Abstract
Given two video frames $X_{0}$ and $X_{n+1}$ , we aim to generate a series of intermediate frames $Y_{1}, Y_{2}, \ldots, Y_{n}$ , such that the resulting video consisting of frames $X_{0}, Y_{1}-Y_{n}, and X_{n+1}$ appears realistic to a human watcher. Such video generation has numerous important applications, including video compression, movie production, slow-motion filming, video surveillance, and forensic analysis. Yet, video generation is highly challenging due to the vast search space of possible frames. Previous methods, mostly based on video prediction and/or video interpolation, tend to generate poor-quality videos with severe motion blur. This paper proposes a novel, end-to-end approach to video generation using generative adversarial networks (GANs). In particular, our design involves two concatenated GANs, one capturing motions and the other generating frame details. The loss function is also carefully engineered to include adversarial loss, gradient difference (for motion learning), and normalized product correlation loss (for frame details). Experiments using three video datasets, namely, Google Robotic Push, KTH human actions, and UCF101, demonstrate that the proposed solution generates high-quality, realistic, and sharp videos, whereas all previous solutions output noisy and blurry results. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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73. Optimizing Synchronizability of Multilayer Networks Based on the Graph Comparison Method.
- Author
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Liu, Hui, Xu, Jiangqiao, Li, Zengyang, Wang, Xiaoping, Lu, Jinhu, and Zeng, Zhigang
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GRAPH theory , *SPECTRAL theory , *REPRESENTATIONS of graphs , *CENTRALITY , *COMPUTER simulation - Abstract
This paper is aimed at optimizing the synchronizability of a complex network when the total of its edge weights is given and fixed. We try to allocate edge weights on a complex network to optimize the network’s synchronizability from the perspective of spectral graph theory. Most of the existing analysis on multilayer networks assumes the weights of intralayer or interlayer edges to be identical. Such a restrictive assumption is not made in this work. Using the graph comparison based method, different edge weights are allocated according to topological features of networks, which is more reasonable and consistent with most physical complex networks. Furthermore, in order to find out the best edge-weight allocation scheme, we carried out numerical simulations on typical duplex networks and real-world networks. The simulation results show that our proposed edge-weight allocation schemes outperform the average, degree-based, and edge betweenness centrality allocations. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
74. A Novel Design for Memristor-Based Multiplexer Via NOT-Material Implication.
- Author
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Wang, Xiaoping, Wu, Qian, Chen, Qiao, and Zeng, Zhigang
- Subjects
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MEMRISTORS , *CROSSBAR switches (Electronics) , *COMPUTER memory management , *RECONFIGURABLE optical add-drop multiplexers , *GATE array circuits - Abstract
This paper proposes a novel memristor-based multiplexer implemented by using NOT-material implication. The proposed design can be extended to arbitrary ${N}$ -bit inputs and the enable-port can be added to improve its structure. Furthermore, this structure can be applied in the cascade circuit and crossbar array. A novel peripheral read circuit is introduced to overcome the problem that it is difficult to read out the operation results stored in crossbar array with large scales. The feasibility and correctness of our design is verified by the HSPICE simulation results with voltage threshold adaptive memristor model. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
75. A Compact Scheme of Reading and Writing for Memristor-Based Multivalued Memory.
- Author
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Wang, Xiaoping, Li, Shuai, Liu, Hui, and Zeng, Zhigang
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MEMRISTORS , *COMPUTER storage devices , *COMPLEMENTARY metal oxide semiconductors , *ELECTRONIC data processing , *NEUROMORPHICS - Abstract
The multivalued memory achieved with memristors is a promising approach to enhance the memory density. Effective and compact methods of reading and writing for multivalued memories can significantly improve the performance of circuits. In this paper, we present a compact and efficient scheme of reading and writing for two memristors per transistor-based multivalued memory. With the VTEAM model of the memristor, the verification of feasibility of our reading operations and writing operations for multivalued memory is achieved through HSPICE simulation. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
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76. Distributed Adaptive Tracking Synchronization for Coupled Reaction–Diffusion Neural Network.
- Author
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Zhang, Hao, Pal, Nikhil R., Sheng, Yin, and Zeng, Zhigang
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ARTIFICIAL neural networks , *SYNCHRONIZATION , *BIOLOGICAL neural networks , *ADAPTIVE control systems , *COST control - Abstract
This paper considers the tracking synchronization problem for a class of coupled reaction–diffusion neural networks (CRDNNs) with undirected topology. For the case where the tracking trajectory has identical individual dynamic as that of the network nodes, the edge-based and vertex-based adaptive strategies on coupling strengths as well as adaptive controllers, which demand merely the local neighbor information, are proposed to synchronize the CRDNNs to the tracking trajectory. To reduce the control costs, an adaptive pinning control technique is employed. For the case where the tracking trajectory has different individual dynamic from that of the network nodes, the vertex-based adaptive strategy is proposed to drive the synchronization error to a relatively small area, which is adjustable according to the parameters of the adaptive strategy. This kind of adaptive design can enhance the robustness of the network against the external disturbance posed on the tracking trajectory. The obtained theoretical results are verified by two representative examples. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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