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Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints

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  • Yongchao Liu
  • Qidan Zhu

Abstract

This article presents an adaptive fuzzy asymptotic tracking control method for switched nonlinear systems with state constraints. The fuzzy logic systems are employed to dispose the lumped unknown dynamics. The state constraints are addressed with the aid of the barrier Lyapunov function. Moreover, drawing support from some well-defined smooth functions, the asymptotic tracking controller is recursively constructed based on backstepping technique. Through Lyapunov analysis and the common Lyapunov function method, it is shown that the system output tracking error asymptotically converges to zero and all system signals are bounded under the switching signal. Finally, the validity of the developed scheme is elucidated by simulation example.

Suggested Citation

  • Yongchao Liu & Qidan Zhu, 2022. "Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(5), pages 922-933, April.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:5:p:922-933
    DOI: 10.1080/00207721.2021.1979684
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    Cited by:

    1. Wu, Dawei & Sun, Yonghui & Xia, Rongsheng & Lu, Shumin, 2022. "Improved Adaptive Fuzzy Control for Non-Strict Feedback Nonlinear Systems: a Dynamic Compensation System Approach," Applied Mathematics and Computation, Elsevier, vol. 435(C).

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