Paper Info
Title
Model reference adaptive control for switched linear systems using switched multiple models control strategy.
Abstract
In this paper, the multiple model strategy is applied to the adaptive control of switched linear systems to improve the transient performance. The solvability of the adaptive stabilization problem of each subsystem is not required. Firstly, the two-layer switching mechanism is designed. The state-dependent switching law with dwell time constraint is designed in the outer-layer switching to guarantee the stability of the switched systems. During the interval of dwell time constraint, the parameter resetting adaptive laws are designed in the inner-layer switching to improve the transient performance. Secondly, the minimum dwell time constraint providing enough time for multiple model adaptive control strategy to work fully and maintaining the stability of the switched systems is found. Finally, the proposed switched multiple model adaptive control strategy guarantees that all the closed-loop system signals remain bounded and the state tracking error converges to zero.
Year
DOI
Venue
2019
10.1016/j.jfranklin.2018.10.036
Journal of the Franklin Institute
Field
DocType
Volume
Dwell time,Linear system,Control theory,Adaptive control,Mathematics,Tracking error,Bounded function,Multiple Models
Journal
356
Issue
ISSN
Citations 
5
0016-0032
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jing Xie100.68
Shujiang Li200.34
Hua Yan344.19
Dong Yang411618.09