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Fuzzy adaptive event-triggered output feedback control of electro-hydraulic system

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Abstract

This article considers a fuzzy adaptive event-triggered control design problem for electro-hydraulic systems. The addressed electro-hydraulic system contains immeasurable states and unknown nonlinear dynamics. Fuzzy logic systems (FLSs) are utilized to model the controlled electro-hydraulic system, and a state observer is formulated to get the estimations of the immeasurable states. Subsequently, a novel event-triggered strategy is introduced by using first-order filter technique, which can reduce the frequent updating of the voltage input. Then, by constructing composite Lyapunov functions, an observer-based fuzzy adaptive event-triggered control method is presented. The stability of the controlled electro-hydraulic system and the convergence of the tracking error are proved. Finally, the computer-simulated studies confirm the effectiveness of the presented control method.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (under Grant No. 62173172).

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Authors and Affiliations

  1. College of Electrical Engineering, Liaoning University of Technology, Shiying, Jinzhou, 121001, Liaoning, China

    Chenyang Jiang & Shao-cheng Tong

  2. School of Information and Control Engineering, China University of Mining and Technology, Daxue, Xuzhou, 221116, Jiangsu, China

    Wei Dai

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  1. Chenyang Jiang
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  2. Shao-cheng Tong
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Correspondence to Shao-cheng Tong.

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Jiang, C., Tong, Sc. & Dai, W. Fuzzy adaptive event-triggered output feedback control of electro-hydraulic system. Neural Comput & Applic 35, 14885–14896 (2023). https://doi.org/10.1007/s00521-023-08469-1

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  • DOI: https://doi.org/10.1007/s00521-023-08469-1

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