Event-triggered fuzzy integral control for a class of nonlinear singularly perturbed systems

Journal article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Artit Visavakitcharoen, Wudhichai Assawinchaichote, Yan Shi, Chrissanthi Angeli;

Publisher: Elsevier

Publication year: 2023

Volume number: 139

Start page: 71

End page: 85

Number of pages: 15

ISSN: 0019-0578

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153800232&doi=10.1016%2fj.isatra.2023.04.011&partnerID=40&md5=42896a2b7338c1de3afcdfea7ee71bbc

Languages: English-Great Britain (EN-GB)

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Abstract

A fuzzy integral controller with an event-triggered strategy for a class of nonlinear continuous singularly perturbed systems is proposed in this manuscript. Since the singularly perturbed systems are characterized by the parasitic parameter ɛ, which leads the systems to have multi-time-scale dynamics, a state feedback controller is proposed and designed for manipulating the effects of the parasitic parameter with the ɛ free functions by utilizing the Takagi–Sugeno fuzzy model, integral feedback, and event-triggered mechanism. As a result, we demonstrate that the proposed method maintain almost the same performance as the conventional controllers with less steady-state error while producing fewer events, which makes the communication channels between the plant system and the controller more available, through the examples of electrical engineering problems. © 2023 ISA

Keywords

Event-Triggered Mechanism (ETM), Integral feedback, Singularly Perturbed System (SPS), Takagi–Sugeno fuzzy model (TS fuzzy model)