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Event-triggered output-based control of T-S fuzzy systems under quantisation, actuator saturation and cyber attacks

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  • Lisai Gao
  • Fuqiang Li
  • Jingqi Fu

Abstract

This paper studies output-based event-triggered security control of networked T-S fuzzy systems under signal quantisation, actuator saturation and deception attacks governed by a Bernoulli distribution. Firstly, using periodically sampled output of a T-S fuzzy system, a discrete event-triggered mechanism (ETM) is introduced to save network bandwidth, which excludes Zeno behaviour absolutely. Secondly, a closed-loop system model is built, which integrates parameters of the T-S fuzzy plant, the ETM, quantiser, actuator saturation, stochastic attacks, network-induced delays and fuzzy dynamic output feedback controller in a unified framework. Thirdly, sufficient conditions for asymptotic stability of the T-S fuzzy system are obtained, and further a fuzzy output-based security controller is designed. Finally, examples confirm effectiveness of the proposed methods.

Suggested Citation

  • Lisai Gao & Fuqiang Li & Jingqi Fu, 2022. "Event-triggered output-based control of T-S fuzzy systems under quantisation, actuator saturation and cyber attacks," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(4), pages 793-809, March.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:4:p:793-809
    DOI: 10.1080/00207721.2021.1973145
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    Cited by:

    1. Yang, Gengjiao, 2024. "The positivity and event-triggered stabilization of Takagi-Sugeno fuzzy systems with actuator saturation," Applied Mathematics and Computation, Elsevier, vol. 473(C).

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