Title
Composite anti-disturbance model reference adaptive control for switched systems.
Abstract
This paper investigates the problem of the composite anti-disturbance model reference adaptive control for switched systems with parametric uncertainties and multiple types of disturbances. It is worth emphasizing that the measurability of the system state and the disturbance generated by an exosystem is unnecessary. A key point is to design a composite anti-disturbance model reference adaptive control strategy to achieve the state tracking and the anti-disturbance performance. First, a switched adaptive state-disturbance observer is designed to estimate the system state and the disturbance generated by the exosystem simultaneously. Secondly, based on the switched adaptive state-disturbance observer, a composite switched adaptive controller and a state-dependent switching law are designed to solve the composite anti-disturbance model reference adaptive control problem for switched systems. Thirdly, a sufficient condition ensuring the solvability of the composite anti-disturbance model reference adaptive control problem for switched systems is given, even if the problem is unsolvable for individual subsystems. Finally, an example of the electrohydraulic system is used to verify the availability of the acquired approach.
Year
DOI
Venue
2019
10.1016/j.ins.2019.02.016
Information Sciences
Keywords
Field
DocType
Switched systems,Model reference adaptive control,Composite anti-disturbance,Adaptive state-disturbance observer
Control theory,Control theory,Composite number,Parametric statistics,Artificial intelligence,Adaptive control,Observer (quantum physics),Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
485
0020-0255
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jing Xie100.68
Dong Yang211618.09
Jun Zhao300.34