Switched Sliding Mode Control for Networked T-S Fuzzy Delayed Systems: A Membership Function-Dependent Event-Triggered Mechanism

This paper investigates the switched sliding mode control (SMC) problem for networked T-S fuzzy delayed systems with limited communication capability, where the event-triggered mechanism is adopted to schedule the information transmission. Using the fuzzy model and controller membership function information, a membership function-dependent dynamic event-triggered mechanism (DETM) is constructed with hope to enhance effective data utilization. Furthermore, a novel switched fuzzy sliding mode controller is designed. Then, by combining with the membership function analysis method, sufficient conditions are provided to guarantee that the closed-loop fuzzy system is asymptotically stable with a prescribed <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H_{\infty}$</tex> performance and the sliding surface is reachable. Finally, a simulation example is employed to demonstrate the rationality of proposed switched SMC strategy.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/iccsse63803.2024.10823969
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Switched Sliding Mode Control for Networked T-S Fuzzy Delayed Systems: A Membership Function-Dependent Event-Triggered Mechanism

Hongxu Zhang, Zhiyuan Zuo, Jun Hu, Hao Liu
Neural Networks Stability and Synchronization
article

Switched Sliding Mode Control for Networked T-S Fuzzy Delayed Systems: A Membership Function-Dependent Event-Triggered Mechanism

Hongxu Zhang, Zhiyuan Zuo, Jun Hu, Hao Liu
article en

Abstract

This paper investigates the switched sliding mode control (SMC) problem for networked T-S fuzzy delayed systems with limited communication capability, where the event-triggered mechanism is adopted to schedule the information transmission. Using the fuzzy model and controller membership function information, a membership function-dependent dynamic event-triggered mechanism (DETM) is constructed with hope to enhance effective data utilization. Furthermore, a novel switched fuzzy sliding mode controller is designed. Then, by combining with the membership function analysis method, sufficient conditions are provided to guarantee that the closed-loop fuzzy system is asymptotically stable with a prescribed <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H_{\infty}$</tex> performance and the sliding surface is reachable. Finally, a simulation example is employed to demonstrate the rationality of proposed switched SMC strategy.

Harbin University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Neural Networks Stability and Synchronization
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