Event-Triggered Fuzzy Control for Nonlinear Systems via Sliding Mode Approach

Journal article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Su X., Wen Y., Shi P., Wang S., Assawinchaichote W.

Publisher: Institute of Electrical and Electronics Engineers

Publication year: 2021

Journal: IEEE Transactions on Fuzzy Systems (1063-6706)

Volume number: 29

Issue number: 2

Start page: 336

End page: 344

Number of pages: 9

ISSN: 1063-6706

eISSN: 1941-0034

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100019614&doi=10.1109%2fTFUZZ.2019.2952798&partnerID=40&md5=8cd6a293c4dbcd19c633ce9c65d64712

Languages: English-Great Britain (EN-GB)

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Abstract

This article addresses the problem of continuous-time dynamic sliding mode control for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. First, a novel sliding mode dynamic system is established by introducing a corresponding sliding mode function and an efficient event-triggered mechanism. Then, based on a new Lyapunov function and the reciprocally convex method, sufficient conditions are presented to guarantee that the constructed network sliding mode dynamics is asymptotically stable. It is shown that the trajectories of the sliding mode dynamic system can converge into a bounded domain of a sliding mode surface in finite time. Furthermore, the explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities. Finally, the applicability and effectiveness of the proposed design techniques are demonstrated by a numerical example. © 2021 IEEE.

Keywords

Event-triggered control, sliding mode control (SMC)