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Event-triggered adaptive fuzzy tracking control of nonlinear MIMO systems

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  • Yuan-Xin Li
  • Guang-Hong Yang
  • Shaocheng Tong

Abstract

This paper addresses the problem of an adaptive fuzzy event-triggered control (ETC) for uncertain multi-input and multi-output nonlinear systems. To reduce the communication burden of the network control systems, a novel state-dependent event-triggering condition is designed to decide when to update the controllers. By combining the backstepping and event-trigged techniques, the adaptive fuzzy ETC strategies are developed and the resulting closed-loop system is semi-global bounded. Finally, the analytical results are substantiated using simulation studies.

Suggested Citation

  • Yuan-Xin Li & Guang-Hong Yang & Shaocheng Tong, 2018. "Event-triggered adaptive fuzzy tracking control of nonlinear MIMO systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(12), pages 2618-2629, September.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:12:p:2618-2629
    DOI: 10.1080/00207721.2018.1506523
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    Cited by:

    1. Jia, Jinping & Dai, Hao & Li, Li & Zhang, Fandi, 2021. "Global sampled-data stabilization for a class of nonlinear systems with arbitrarily long input delays via a multi-rate control algorithm," Applied Mathematics and Computation, Elsevier, vol. 392(C).

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