Event-Triggered Almost Output Regulation for Switched T-S Fuzzy Systems.

IF 9.4 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Cybernetics Pub Date : 2025-03-20 DOI:10.1109/TCYB.2025.3547288

Shuanghe Yu, Ying Zhao, Jingjie Xu

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引用次数: 0

Abstract

This article investigates the event-triggered (ET) almost output regulation (ETAOR) issue for the switched T-S fuzzy (T-SF) systems with both output regulation (OR) characteristic and L₂ gain characteristic considered. First, in order to conserve communication resources, an ET mechanism and an ET switched fuzzy feedback controller are devised. Then, the definition of the ETAOR issue for the switched T-SF systems is presented. Next, with the relaxed assumption of the same coordinate transformation, the ETAOR issue of the switched T-SF systems is transformed into the ET H_∞ control problem of the switched T-SF systems. Further, by using the multiple Lyapunov functions approach, a solvability condition on the ETAOR issue is established for the switched T-SF systems with the average dwell-time related switching signals. Such condition is also suitable for nonswitched T-SF systems. In addition, Zeno behavior may be caused by the ET programme is excluded. Finally, the presented control method is applied to an aero-engine case study to corroborate its effectiveness.

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来源期刊

IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS

CiteScore

25.40

自引率

11.00%

发文量

1869

期刊介绍： The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.