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Dynamic event-triggered sliding mode control for T-S fuzzy switched systems with multi-node stochastic communication protocols

Author

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  • Zhao, Haijuan
  • Wang, Wendi
  • He, Wei

Abstract

This article delves into the sliding mode control issue pertaining to Takagi-Sugeno (T-S) fuzzy switched systems incorporating dynamic event-triggered (ET) mechanism and multi-node stochastic communication protocols (MSCPs). To conserve communication resources, a dynamic ET mechanism is implemented to regulate data transmission from the plant to the controller. The communication states of sensors and actuators are stochastically selected, with only partial nodes being accessible for data transmission. Two independent Markov chains respectively describe the connection status of the nodes of the sensors and the actuators, which are subsequently unified through a mapping technique into a single Markov chain representing combined node accessibility. By using the method of membership-function-dependent (MFD), a sufficient condition for the reachability of the closed-loop switched systems within the sliding surface and around the sliding domain is established, and the exponential stability of the closed-loop switched systems is ensured. Finally, a numerical simulation example and a rigid spacecraft simulation example are utilized to validate the effectiveness of the results.

Suggested Citation

  • Zhao, Haijuan & Wang, Wendi & He, Wei, 2026. "Dynamic event-triggered sliding mode control for T-S fuzzy switched systems with multi-node stochastic communication protocols," Applied Mathematics and Computation, Elsevier, vol. 523(C).
    • Handle: RePEc:eee:apmaco:v:523:y:2026:i:c:s0096300326000767
    DOI: 10.1016/j.amc.2026.130024
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