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Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints

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Abstract

This paper develops an adaptive fuzzy control method for nonlinear time-delay systems in the presence of state constraints. To mitigate the communication burden and save resource, the event-triggered mechanism is exploited to update control signal. The time-delay term existing systems is handled by adopting Lyapunov–Krasovskii functional. The fuzzy logic systems are explored to identify the system uncertainties. In addition, by employing barrier Lyapunov function, the established control method can guarantee that the state constraints are not violated and the boundedness of the closed-loop systems is achieved without exhibiting Zeno behavior. Finally, the validity of the presented method is illustrated by a simulation example.

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Acknowledgements

This work was supported in part by the Development Project of Ship Situational Intelligent Awareness System under Grant MC-201920-X01, in part by the National Natural Science Foundation of China under Grants 61803116 and 61673129, and in part by the Fundamental Research Funds for the Central Universities of China under Grant 3072020CF0410.

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  1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China

    Yongchao Liu & Qidan Zhu

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  1. Yongchao Liu
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Correspondence to Qidan Zhu.

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Liu, Y., Zhu, Q. Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints. Circuits Syst Signal Process 41, 636–660 (2022). https://doi.org/10.1007/s00034-021-01802-w

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