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Adaptive fuzzy control for uncertain switched discrete-time nonlinear systems in a pure-feedback form with state constraints

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  • Toshio Yoshimura

Abstract

This paper is concerned with the adaptive fuzzy control for uncertain switched discrete-time nonlinear systems in a pure-feedback form under arbitrary switchings. The design and the stability analysis of the adaptive fuzzy control with state constraints are based on the adaptive fuzzy backstepping control and the Lyapunov function. The feature of the proposed approach is as follows. (i) The proposed adaptive fuzzy control is designed by suppressing the explosion problem of the complexity in the backstepping control, (ii) In the fuzzy inference approach, the nonlinear uncertainties are approximated by using the fuzzy logic systems based on the simplified extended single-input rule modules, and (iii) The proposed estimator to take the estimates for the unmeasurable states, the adjustable parameters and the real control is in a simplified structure designed. The simulation experiment provides that the proposed approach improves the system performance.

Suggested Citation

  • Toshio Yoshimura, 2022. "Adaptive fuzzy control for uncertain switched discrete-time nonlinear systems in a pure-feedback form with state constraints," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(6), pages 1191-1206, April.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:6:p:1191-1206
    DOI: 10.1080/00207721.2021.1994049
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