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Self-triggered adjustable prescribed performance control for stochastic multiagent systems with communication faults

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Abstract

The complex working environment and accurate transient performance bring the challenges for the tracking control of multiagent systems (MASs). To guarantee the control performance of stochastic MASs under the limited communication resources and random communication noises, an adaptive adjustable prescribed performance control strategy via compensatory self-triggered mechanism is designed. First of all, a data-driven fault detection mechanism is proposed to detect the occurrence of the communication faults caused by the random communication noises. The boundary of detecting outlier is directly determined by the less collected operation data without updating continuously. Then, the shifting function which has less intermediate functions is designed, which can be used to achieve the adjustable prescribed performance control method that the tracking errors are restricted in the adjustable bounds. Next, a compensatory self-triggered mechanism is proposed to address the problem of the excessive trigger intervals caused by the large control signal. Finally, all signals of the closed-loop system are verified semiglobally uniformly ultimately bounded in probability by the Lyapunov stability method. The effectiveness of the control method is verified by simulation results.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (62103108), the Revitalization of Liaoning Talents Program (XLYC2203201), the General cultivation of scientific research projects of Bohai University (0522xn072), the Natural Science Foundation of Guangdong Province under Grant (2022A1515011506) and the Innovation and Entrepreneurship Teaching Reform Research Project of Bohai University.

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Authors and Affiliations

  1. College of Control Science and Engineering, Bohai University, Jinzhou, Liaoning, 121013, China

    Wenzhe Wang & Yingnan Pan

  2. College of Mathematical Sciences, Bohai University, Jinzhou, Liaoning, 121013, China

    Liang Cao & Hong Xue

  3. School of Automation and the Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, 510006, China

    Hongru Ren

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  1. Wenzhe Wang
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Contributions

All authors contributed to the study conception and design. Data simulation, manuscript revision and proofreading were performed by Wenzhe Wang, Liang Cao, Yingnan Pan, Hongru Ren and Hong Xue. The first draft of the manuscript was written by Wenzhe Wang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Liang Cao.

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Wang, W., Cao, L., Pan, Y. et al. Self-triggered adjustable prescribed performance control for stochastic multiagent systems with communication faults. Appl Intell 54, 3058–3076 (2024). https://doi.org/10.1007/s10489-024-05306-3

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