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Full state constraints-based adaptive control for switched nonlinear pure-feedback systems

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  • Yanan Bian
  • Yuhao Chen
  • Lijun Long

Abstract

This paper investigates the problem of full state constraints-based adaptive control for a class of switched nonlinear pure-feedback systems under arbitrary switchings. First, the switched pure-feedback system is transformed into a switched strict-feedback system with non-affine terms based on the mean value theorem. Then, by exploiting the common Lyapunov function (CLF) method, the Barrier Lyapunov function method and backstepping, state feedback controllers of individual subsystems and a common Barrier Lyapunov function (CBLF) are constructed, which guarantee that all signals in the closed-loop system are global uniformly bounded under arbitrary switchings, and full state constraints are not violated. Furthermore, the tracking error can converge to a bounded compact set. Two examples, which include a single-link robot as a practical example, are provided to demonstrate the effectiveness of the proposed design method.

Suggested Citation

  • Yanan Bian & Yuhao Chen & Lijun Long, 2018. "Full state constraints-based adaptive control for switched nonlinear pure-feedback systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(15), pages 3094-3107, November.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:15:p:3094-3107
    DOI: 10.1080/00207721.2018.1533050
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