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Event-based adaptive fuzzy tracking control for nonlinear systems with input magnitude and rate saturations

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  • Yi Shui
  • Lu Dong
  • Ya Zhang
  • Changyin Sun

Abstract

In this paper, an event-based adaptive fuzzy tracking control strategy for a class of uncertain nonlinear systems with limited control input and its rate of change is proposed. The unknown nonlinear function of the considered system is approximated by a fuzzy logic system (FLS). Furthermore, an event-triggered control method is developed to save the computing resources, in which the controller parameters are adaptively adjusted by a fuzzy controller. Moreover, it is proved by designing the Lyapunov function that the event-based controller can ensure that all signals of the controlled system are bounded. In addition, the tracking error can converge to a preset domain. Meanwhile, two practical simulations are given to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Yi Shui & Lu Dong & Ya Zhang & Changyin Sun, 2023. "Event-based adaptive fuzzy tracking control for nonlinear systems with input magnitude and rate saturations," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(16), pages 3045-3058, December.
    • Handle: RePEc:taf:tsysxx:v:54:y:2023:i:16:p:3045-3058
    DOI: 10.1080/00207721.2023.2268237
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