DocumentCode :
1752602
Title :
Robust H State Observer Design for a Class of Linear Switched Composite Large-Scale Systems
Author :
Jiao Li ; Changchun Sun ; Yuzhong Liu
Author_Institution :
Sch. of Math. & Syst. Sci., Shenyang Normal Univ.
Volume :
1
fYear :
2006
fDate :
21-23 June 2006
Firstpage :
1290
Lastpage :
1293
Abstract :
The problem of robust Hinfin state observer design was considered for a class of switched composite large-scale systems. This paper was studied under the assumptions that there existed finite candidate state observers, and the gain matrices of observers were known, but none of the individual state observers made the error system stable. Based on convex combination technique, LMI method and switching among the finite candidate observers, the error system is shown to be stable with Hinfin norm-bounded through the design of switching laws. The results show that the choice range of the gain matrices of state observers is extended by switching technique and simplifies the design of systems. Simulations validate the correctness of the results
Keywords :
Hinfin control; large-scale systems; linear matrix inequalities; observers; robust control; time-varying systems; Lyapunov function; convex combination technique; error system stable; gain matrices; linear matrix inequality; linear switched composite large-scale systems; robust Hinfin state observer design; switching technique; Automation; Intelligent control; Large-scale systems; Linear matrix inequalities; Lyapunov method; Mathematics; Neural networks; Robustness; Sun; H; Lyapunov function; linear matrix inequality; switched composite large-scale systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712555
Filename :
1712555
Link To Document :
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