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

Yi Shui, Lu Dong, Ya Zhang and Changyin Sun

International Journal of Systems Science, 2023, vol. 54, issue 16, 3045-3058

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.

Date: 2023
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DOI: 10.1080/00207721.2023.2268237

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