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Event-Triggered Adaptive Fuzzy Finite Time Control of Fractional-Order Non-Strict Feedback Nonlinear Systems

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Abstract

In this article, the problem of event-triggered adaptive fuzzy finite time control of non-strict feedback fractional order nonlinear systems is investigated. By using the property of fuzzy basis function, the obstacle caused by algebraic loop problems is successfully circumvented. Moreover, a new adaptive event-triggered scheme is designed under the unified framework of backstepping control method, which can largely reduce the amount of communications. The stability of the closed-loop system is ensured through fractional Lyapunov stability analysis. Finally, the effectiveness of the proposed scheme is verified by simulation examples.

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Author information

Authors and Affiliations

  1. College of Science, Liaoning University of Technology, Jinzhou, 121001, China

    Chun Xin & Yuanxin Li

  2. School of Information Science and Engineering, Shandong Normal University, Jinan, 250014, China

    Ben Niu

Authors
  1. Chun Xin
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  2. Yuanxin Li
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  3. Ben Niu
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Corresponding author

Correspondence to Yuanxin Li.

Additional information

This work was supported in part by the Funds of National Science of China under Grant Nos. 61973146 and 61773188, and in part by the Distinguished Young Scientific Research Talents Plan in Liaoning Province under Grant Nos. XLYC1907077 and JQL201915402.

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Xin, C., Li, Y. & Niu, B. Event-Triggered Adaptive Fuzzy Finite Time Control of Fractional-Order Non-Strict Feedback Nonlinear Systems. J Syst Sci Complex 35, 2166–2180 (2022). https://doi.org/10.1007/s11424-022-1244-z

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  • DOI: https://doi.org/10.1007/s11424-022-1244-z

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