Institution
Liaoning University of Technology
Education•Jinzhou, China•
About: Liaoning University of Technology is a education organization based out in Jinzhou, China. It is known for research contribution in the topics: Fuzzy logic & Backstepping. The organization has 2586 authors who have published 2466 publications receiving 42794 citations.
Papers published on a yearly basis
Papers
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TL;DR: An adaptive control technique is developed for a class of uncertain nonlinear parametric systems and it is proved that all the signals in the closed-loop system are global uniformly bounded and the tracking error is remained in a bounded compact set.
676 citations
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TL;DR: Two theorems are provided to show that all the signals in the closed-loop system are bounded, the outputs are driven to follow the reference signals and all the states are ensured to remain in the predefined compact sets.
657 citations
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01 Dec 2011TL;DR: It is proved that these two control approaches can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in mean square, and the observer errors and the output of the system converge to a small neighborhood of the origin.
Abstract: In this paper, two adaptive fuzzy output feedback control approaches are proposed for a class of uncertain stochastic nonlinear strict-feedback systems without the measurements of the states. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed for estimating the unmeasured states. On the basis of the fuzzy state observer, and by combining the adaptive backstepping technique with fuzzy adaptive control design, an adaptive fuzzy output feedback control approach is developed. To overcome the problem of “explosion of complexity” inherent in the proposed control method, the dynamic surface control (DSC) technique is incorporated into the first adaptive fuzzy control scheme, and a simplified adaptive fuzzy output feedback DSC approach is developed. It is proved that these two control approaches can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in mean square, and the observer errors and the output of the system converge to a small neighborhood of the origin. A simulation example is provided to show the effectiveness of the proposed approaches.
548 citations
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TL;DR: It is proved that the proposed adaptive neural network (NN) consensus control method guarantees the convergence on the basis of Lyapunov stability theory.
Abstract: Because of the complicity of consensus control of nonlinear multiagent systems in state time-delay, most of previous works focused only on linear systems with input time-delay. An adaptive neural network (NN) consensus control method for a class of nonlinear multiagent systems with state time-delay is proposed in this paper. The approximation property of radial basis function neural networks (RBFNNs) is used to neutralize the uncertain nonlinear dynamics in agents. An appropriate Lyapunov–Krasovskii functional, which is obtained from the derivative of an appropriate Lyapunov function, is used to compensate the uncertainties of unknown time delays. It is proved that our proposed approach guarantees the convergence on the basis of Lyapunov stability theory. The simulation results of a nonlinear multiagent time-delay system and a multiple collaborative manipulators system show the effectiveness of the proposed consensus control algorithm.
528 citations
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TL;DR: An output feedback control method with prescribed performance is proposed for single-input and single-output (SISO) switched non-strict-feedback nonlinear systems and it is shown that all the signals in the resulting closed-loop system are semi-globally uniformly ultimately bounded.
506 citations
Authors
Showing all 2611 results
Name | H-index | Papers | Citations |
---|---|---|---|
Shaocheng Tong | 91 | 344 | 26161 |
Junhua Li | 77 | 480 | 21626 |
Yan-Jun Liu | 56 | 182 | 11751 |
Yongming Li | 54 | 444 | 10604 |
Qiang Li | 50 | 514 | 10063 |
Zhilin Li | 47 | 347 | 11280 |
Xin Liu | 39 | 196 | 4317 |
Jianguo Zhang | 34 | 120 | 10714 |
Wei Wang | 30 | 159 | 3113 |
Bin Zhao | 28 | 149 | 3645 |
Yongming Li | 24 | 33 | 7001 |
Lei Liu | 23 | 71 | 1961 |
Jianfang Cao | 21 | 36 | 2710 |
Tong Wang | 20 | 60 | 2972 |
Shuai Sui | 20 | 30 | 2467 |