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Adaptive tracking control for uncertain switched systems under asynchronous switching
Author(s) -
Wu Caiyun,
Zhao Jun,
Sun XiMing
Publication year - 2014
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3275
Subject(s) - control theory (sociology) , dwell time , asynchronous communication , tracking error , computer science , parametric statistics , stability (learning theory) , state (computer science) , class (philosophy) , controller (irrigation) , exponential stability , adaptive control , tracking (education) , control (management) , control engineering , mathematics , engineering , nonlinear system , algorithm , artificial intelligence , telecommunications , medicine , psychology , clinical psychology , pedagogy , statistics , physics , quantum mechanics , machine learning , agronomy , biology
Summary This paper addresses the state‐tracking model reference adaptive control problem for a class of switched systems with parametric uncertainties, where switchings between subsystems and designed adaptive controller are asynchronous. First, we establish a stability criterion for a switched reference model and convert the state‐tracking problem into the stability problem of an error switched system. Then, an adaptive law is designed, and the global practical stability of the error switched system is guaranteed under a class of switching signals characterized by a dwell‐time condition. An electrohydraulic system is given as an example to demonstrate the feasibility and effectiveness of the proposed design method. Copyright © 2014 John Wiley & Sons, Ltd.