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Observer-Based Adaptive Fuzzy Tracking Control for a Class of Strict-Feedback Systems with Event-Triggered Strategy and Tan-type Barrier Lyapunov Function

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Abstract

In this paper, an observer-based adaptive fuzzy tracking control is considered for a class of strict-feedback nonlinear systems. The nonlinear functions and unmeasured states in the system are estimated by means of fuzzy logic systems and fuzzy state observers, respectively. In addition, the tan-type barrier Lyapunov specifies that the tracking error is limited to a given area. An improved event-triggered technique is introduced in the controller design to save the network resources and avoid the Zeno-behavior. It is proven that the proposed controller can ensure that all the signals of the closed-loop system are uniformly and ultimately bounded. Finally, the simulation results verify the feasibility of the design scheme.

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Acknowledgements

This work is supported in part by Excellent Talents Training Program of University of Science and Technology Liaoning (Grant No. 2019RC09) and the Natural Sciences and Engineering Research Council of Canada (NSERC).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, Liaoning, China

    Chuang Gao, Xin Zhou, Yonghui Yang & Zhigang Li

  2. Faculty of Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada

    Xiaoping Liu

Authors
  1. Chuang Gao
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  2. Xin Zhou
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  3. Xiaoping Liu
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  4. Yonghui Yang
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  5. Zhigang Li
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Correspondence to Zhigang Li.

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Gao, C., Zhou, X., Liu, X. et al. Observer-Based Adaptive Fuzzy Tracking Control for a Class of Strict-Feedback Systems with Event-Triggered Strategy and Tan-type Barrier Lyapunov Function. Int. J. Fuzzy Syst. 22, 2534–2545 (2020). https://doi.org/10.1007/s40815-020-00948-0

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  • DOI: https://doi.org/10.1007/s40815-020-00948-0

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