Adaptive event-triggered fuzzy tracking control of nonlinear systems with dead-zones and unmeasurable states

Yu-Han Hu, Ling Zhao, Li-Bing Wu, Nan-Nan Zhao and Yu-Jun Zhang

International Journal of Systems Science, 2020, vol. 51, issue 16, 3251-3268

Abstract: In this paper, the adaptive event-triggered tracking control of uncertain nonlinear systems with dead-zone inputs is developed based on fuzzy approximation technique. Firstly, a robust fuzzy state observer is constructed to effectively estimate all the unmeasurable states. Next, an adaptive output feedback controller with parameter updated law only containing one on-line adjusted variable is designed via the backstepping scheme. Concomitantly, a novel event-triggered condition related to the upper and lower bounds of dead-zone parameters and the decreasing function of tracking errors is given to substantially alleviate the computation load of the communication process. Moreover, the desired closed-loop stability of the resulting systems can be achieved by exploiting Lyapunov function analysis. Finally, simulation results verify the effectiveness of the proposed method.

Date: 2020
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DOI: 10.1080/00207721.2020.1814445

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