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Event-triggered observer-based T-S fuzzy dynamic positioning fault-tolerant control for unmanned surface vehicle

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Abstract

To improve the anti-disturbance and reliability performance for unmanned surface vehicles subject to actuator faults and external disturbances, an adaptive event-triggered observer-based output feedback control method is proposed. Firstly, a Takagi-Sugeno fuzzy system is established by considering unknown disturbances and actuator faults. Secondly, an adaptive event-triggered mechanism is designed and then the state and disturbance observers are constructed using the output of the event generator. Based on the outputs of the observers, an adaptive event-triggered observer-based output feedback dynamic positioning controller is developed and the asymptotical stability with \(H_\infty\) performance is analyzed via the Lyapunov function method. Finally, the advantages of the proposed method are demonstrated via an example.

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

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China under Grant (62173205), partially by the Natural Science Foundation Program of Shandong Province (ZR2020YQ48), partially supported by the Taishan Scholar Project of Shandong Province.

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Author notes

  1. Jierong Shi and Linlin Hou these authors contributed equally to this work.

Authors and Affiliations

  1. School of Engineering, Qufu Normal University, Yantai Road, Rizhao, 276826, Shandong, China

    Haibin Sun & Jierong Shi

  2. School of Computer, Qufu Normal University, Yantai Road, Rizhao, 276826, Shandong, China

    Linlin Hou

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  1. Haibin Sun
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  2. Jierong Shi
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Correspondence to Haibin Sun.

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Sun, H., Shi, J. & Hou, L. Event-triggered observer-based T-S fuzzy dynamic positioning fault-tolerant control for unmanned surface vehicle. Neural Comput & Applic 35, 20157–20171 (2023). https://doi.org/10.1007/s00521-023-08786-5

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