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Event-Triggered Adaptive Fuzzy Tracking Control for Nonlinear Systems

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Abstract

In this paper, the problem of event-triggered adaptive fuzzy tracking control for nonlinear systems with external disturbance is explored. The fuzzy logic system method is utilized to design the event-triggered adaptive controller under two different event-triggered mechanisms to ensure that the tracking error converges to zero in any small neighborhood, and all the signals in the closed loop systems are bounded. In addition, two different ways are given to prove that the Zeno phenomenon will not occur. Finally, two simulation examples are given to demonstrate the validity of the proposed control scheme.

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Funding

Funding was provided by National Natural Science Foundation of China (Grant No. 61973148).

Author information

Authors and Affiliations

  1. School of Mathematics Science, Liaocheng University, Liaocheng, 252000, China

    Baomin Li, Jianwei Xia & Huasheng Zhang

  2. School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, 243002, China

    Hao Shen

  3. College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Zhen Wang

Authors
  1. Baomin Li
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  2. Jianwei Xia
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  4. Hao Shen
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  5. Zhen Wang
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Correspondence to Jianwei Xia.

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Li, B., Xia, J., Zhang, H. et al. Event-Triggered Adaptive Fuzzy Tracking Control for Nonlinear Systems. Int. J. Fuzzy Syst. 22, 1389–1399 (2020). https://doi.org/10.1007/s40815-020-00872-3

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  • DOI: https://doi.org/10.1007/s40815-020-00872-3

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