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Adaptive output-feedback neural tracking control for uncertain switched MIMO nonlinear systems with time delays

Author

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  • Jie Kong
  • Ben Niu
  • Zhenhua Wang
  • Ping Zhao
  • Wenhai Qi

Abstract

This paper investigates the problem of adaptive output-feedback neural tracking control for a class of uncertain switched multiple-input multiple-output (MIMO) nonstrict-feedback nonlinear systems with time delays. It should be emphasised that the design for the considered system is quite difficult due to its unknown factors caused by the unknown system coefficients and the unknown functions. In our proposed design procedure, neural networks (NNs) are introduced to identify the unknown nonlinear functions and a valid hypothesis is used to deal with the unknown system coefficients. Then, the developed switched filter can be utilised to estimate the unmeasured system states. On the basis of the backstepping technique and the common Lyapunov function (CLF) approach, an adaptive neural controller is constructed for each subsystem. It is proved that all signals existing in the switched closed-loop system are ultimately bounded under arbitrary switching and each system output can track the corresponding target trajectory within a small bounded error. Finally, simulation results are presented to illustrate the efficiency of the proposed control method.

Suggested Citation

  • Jie Kong & Ben Niu & Zhenhua Wang & Ping Zhao & Wenhai Qi, 2021. "Adaptive output-feedback neural tracking control for uncertain switched MIMO nonlinear systems with time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(13), pages 2813-2830, October.
    • Handle: RePEc:taf:tsysxx:v:52:y:2021:i:13:p:2813-2830
    DOI: 10.1080/00207721.2021.1909775
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    Cited by:

    1. Xu, Tianbo & Zhu, Chunxia & Qi, Wenhai & Cheng, Jun & Shi, Kaibo & Sun, Liangliang, 2022. "Passive analysis and finite-time anti-disturbance control for semi-Markovian jump fuzzy systems with saturation and uncertainty," Applied Mathematics and Computation, Elsevier, vol. 424(C).
    2. Zhang, Ning & Qi, Wenhai & Pang, Guocheng & Cheng, Jun & Shi, Kaibo, 2022. "Observer-based sliding mode control for fuzzy stochastic switching systems with deception attacks," Applied Mathematics and Computation, Elsevier, vol. 427(C).

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