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Quasi‐passivity‐based adaptive stabilization for switched nonlinearly parameterized systems
Author(s) -
Pang Hongbo,
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.2750
Subject(s) - control theory (sociology) , passivity , parameterized complexity , adaptive control , computer science , observer (physics) , dwell time , stability (learning theory) , exponential stability , full state feedback , mathematics , control (management) , engineering , algorithm , artificial intelligence , nonlinear system , medicine , clinical psychology , physics , electrical engineering , quantum mechanics , machine learning
Summary This paper investigates the adaptive quasi‐passification‐based stabilization problem for a class of switched nonlinearly parameterized systems via average dwell time method. First, when all the subsystems have any same relative degree, the global practical stability is achieved by combining the recursive feedback quasi‐passification design technique with a switched adaptive control technique. The states and parameter estimation errors converge to the ball whose sizes can be reduced by choosing appropriate design parameters. Second, when the system states are unavailable for measurements, adaptive output feedback controllers are designed to stabilize the system using quasi‐passivity. The proposed output feedback controllers do not depend on any state observer. Finally, three examples show the effectiveness of the proposed methods.