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Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis

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Abstract

In this paper, the fuzzy event-triggered adaptive control problems for a class of nonlinear systems with input hysteresis are investigated. Fuzzy logic systems (FLSs) are applied to address the uncertain part of the systems. Combined with adaptive control, a class of smooth functions are introduced to deal with the approximation error of FLSs, which could improve the system control accuracy. Further, different from the existing event-triggered strategy, a two-bit signal transmission mechanism is proposed to economize system communication resources. With the proposed mechanism, each time when the control signal is updated, only two-bit of digital numbers need to be sent. The convergence and asymptotic tracking performance of the closed-loop system could be guaranteed. Finally, simulation demonstrates the obtained results.

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Acknowledgements

The authors express sincere gratitude for some constructive comments made by the experts who reviewed the first draft of this paper, and it has improved the presentation.

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Authors and Affiliations

  1. School of Automation, Guangdong University of Technology, Guangzhou, 510006, China

    Zicong Chen

  2. School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, 510006, China

    Zicong Chen, Jianhui Wang, Peisen Zhu, Biaotao He & Chunliang Zhang

  3. School of Harbin Institute of Technology, Harbin, 150006, China

    Kemao Ma

Authors
  1. Zicong Chen
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  2. Jianhui Wang
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  3. Kemao Ma
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  4. Peisen Zhu
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  5. Biaotao He
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  6. Chunliang Zhang
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Correspondence to Jianhui Wang.

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Chen, Z., Wang, J., Ma, K. et al. Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis. Soft Comput 25, 6619–6631 (2021). https://doi.org/10.1007/s00500-021-05656-x

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