DocumentCode :
3279856
Title :
Stabilization of switched linear systems with Wiener process disturbances
Author :
Raouf, J. ; Michalska, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mcgill Univ., Montreal, QC, Canada
fYear :
2010
fDate :
June 30 2010-July 2 2010
Firstpage :
3281
Lastpage :
3286
Abstract :
This paper is concerned with the control of switched systems with Wiener process disturbances. Based on multiple Lyapunov function approach and using a class of Metzler matrices, a new criterion is established to test the mean square stability by solving linear matrix inequalities (LMIs). A design procedure is then proposed to determine a switching rule that employs only the available feedback information, and an associated state feedback controller that, when applied simultaneously, stabilize the closed-loop system in mean square sense. A practical application related to the control of stochastic oscillators is provided to show the effectiveness of the proposed method.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; linear matrix inequalities; linear systems; mean square error methods; stability; state feedback; stochastic processes; time-varying systems; Lyapunov function; Metzler matrix; Wiener process disturbance; closed-loop system; control design; linear matrix inequalities; mean square stability; stabilization; state feedback controller; stochastic oscillator; switched linear system; switched system control; switching rule; Control systems; Linear matrix inequalities; Linear systems; Lyapunov method; Oscillators; Stability criteria; State feedback; Stochastic processes; Switched systems; Testing; Linear matrix inequality; Multiplicative noise; Stabilization; Stochastic systems; Switched systems; Wiener process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
ISSN :
0743-1619
Print_ISBN :
978-1-4244-7426-4
Type :
conf
DOI :
10.1109/ACC.2010.5530682
Filename :
5530682
Link To Document :
بازگشت