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417 results on '"Tan, Jieqing"'

104. Event-triggered-based fixed-time adaptive prescribed tracking control for stochastic nonlinear systems with actuator faults.

Author

Zhang, Xu, Tan, Jieqing, He, Lei, Yao, Yangang, and Wu, Jian

Subjects
*STOCHASTIC systems, *NONLINEAR systems, *ACTUATORS, *CLOSED loop systems, *ADAPTIVE control systems, *STOCHASTIC control theory, *NONLINEAR control theory
Abstract

In this paper, the event-triggered fixed-time control scheme is developed for a class of stochastic nonlinear systems with prescribed boundary constraints and actuator faults. For the controlled systems with unknown nonlinear functions, the neural networks are employed to reestablish the system model. Based on the event-triggered control technology, an original adaptive fixed-time control strategy with prescribed performance and the fault state is proposed by using the backstepping technique. Under the developed adaptive controller, the tracking error satisfies the predefined boundary functions and all the closed-loop system signals are bounded in probability in a fixed time, and the convergence time is irrelevant to the initial states of the system. The practicability of the designed controller is illustrated by a simulation example. [ABSTRACT FROM AUTHOR]

Published
2022
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111. Adaptive practical fixed‐time tracking control for uncertain non‐strict‐feedback systems with input delay and prescribed boundary constraints.

Author

Zhang, Xu, Tan, Jieqing, Yao, Yangang, and Wu, Jian

Subjects
*UNCERTAIN systems, *RADIAL basis functions, *NONLINEAR systems, *PSYCHOLOGICAL feedback, *CLOSED loop systems, *COORDINATE transformations
Abstract

Summary: This article concentrates upon the practical fixed‐time adaptive neural tracking control problem of non‐strict‐feedback nonlinear systems with input delay and prescribed boundary constraints (PBCs). A modified appropriate auxiliary system is introduced to eliminate the complex calculations appeared in the input delay. The unknown nonlinear functions exist in non‐strict‐feedback nonlinear systems, which are approximated by the radial basis function neural networks. The adaptive practical fixed‐time control strategy is developed based on a novel coordinate transformation by utilizing the backstepping algorithm. Under the proposed controller, it can be guaranteed that the tracking error satisfies the PBCs in fixed time and all the signals in the closed‐loop system are bounded. Some numerical simulations verify the effectiveness of the control approach. [ABSTRACT FROM AUTHOR]

Published
2022
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112. Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations.

Author

Zha, Wenshu, Zhang, Wen, Li, Daolun, Xing, Yan, He, Lei, and Tan, Jieqing

Subjects
PETRI nets, MATHEMATICAL ability, ALGORITHMS
Abstract

Neural networks are increasingly used widely in the solution of partial differential equations (PDEs). This letter proposes 3D-PDE-Net to solve the three-dimensional PDE. We give a mathematical derivation of a three-dimensional convolution kernel that can approximate any order differential operator within the range of expressing ability and then conduct 3D-PDE-Net based on this theory. An optimum network is obtained by minimizing the normalized mean square error (NMSE) of training data, and L-BFGS is the optimized algorithm of second-order precision. Numerical experimental results show that 3D-PDE-Net can achieve the solution with good accuracy using few training samples, and it is of highly significant in solving linear and nonlinear unsteady PDEs. [ABSTRACT FROM AUTHOR]

Published
2022
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141. A Color Image Watermarking Scheme Resistant against Geometrical Attacks

Author

Xing, Yan and Tan, Jieqing

Subjects
phase correlation, geometrical attacks, LPM, Data_MISCELLANEOUS, Computer Science::Multimedia, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Digital watermarking, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Computer Science::Cryptography and Security
Abstract

The geometrical attacks are still a problem for many digital watermarking algorithms at present. In this paper, we propose a watermarking algorithm for color images resistant to geometrical distortions (rotation and scaling). The singular value decomposition is used for watermark embedding and extraction. The log-polar map- ping (LPM) and phase correlation method are used to register the position of geometrical distortion suffered by the watermarked image. Experiments with different kinds of color images and watermarks demonstrate that the watermarking algorithm is robust to common image processing attacks, especially geometrical attacks.

Published
2010

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