Open AccessAdaptive event‐triggered output‐feedback control for switched nonlinear systems with time‐varying delays: A modified MDADT method
Author(s) -
Kong Jie,
Niu Ben,
Zhang JiaMing,
Wang ZhenHua,
Wang HuanQing
Publication year - 2022
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12251
Subject(s) - backstepping , control theory (sociology) , dwell time , nonlinear system , controller (irrigation) , computer science , filter (signal processing) , bounded function , process (computing) , control (management) , adaptive control , mathematics , artificial intelligence , medicine , clinical psychology , mathematical analysis , physics , quantum mechanics , agronomy , computer vision , biology , operating system
In this paper, the issue of adaptive event‐triggered output‐feedback control for a class of switched nonlinear systems with time‐varying delays is investigated. By adopting the mode‐dependent average dwell time (MDADT) method and the backstepping technique, an adaptive neural output‐feedback control strategy is proposed for the switched system with event‐triggered mechanism. In the process of controller design, an intelligent approximation technique and a switched filter are introduced to overcome the difficulties caused by the unknown nonlinear functions and the immeasurable states, respectively. Moreover, the appropriate Lyapunov–Krasovskii functionals are designed to compensate the effects of time delays. It is proved that the proposed control strategy guarantees that all the signals in the switched closed‐loop systems are bounded under arbitrary switchings with MDADT. In the end, two simulation examples are provided to illustrate the feasibility of the developed control strategy.