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Model reference adaptive control for nonlinear switched systems under asynchronous switching
Author(s) -
Xie Jing,
Zhao Jun
Publication year - 2017
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2666
Subject(s) - control theory (sociology) , nonlinear system , dwell time , asynchronous communication , parametric statistics , adaptive control , computer science , controller (irrigation) , stability (learning theory) , state (computer science) , exponential stability , control (management) , control engineering , mathematics , engineering , algorithm , artificial intelligence , telecommunications , physics , quantum mechanics , machine learning , agronomy , biology , medicine , clinical psychology , statistics
Summary In this paper, the problem of model reference adaptive control for nonlinear switched systems with parametric uncertainties is investigated. Asynchronous switching between subsystems and adaptive controllers is also considered. Firstly, a state feedback adaptive controller is designed. Then, sufficient conditions ensuring the global practical stability of the error switched system with average dwell time are proposed. The boundedness of all signals in the closed‐loop system is guaranteed by the proposed adaptive controller. Finally, a practical example is given to demonstrate the validity of the main results. Copyright © 2016 John Wiley & Sons, Ltd.