DocumentCode :
2665631
Title :
An LMI approach to H filtering of uncertain systems
Author :
Hong, Liang ; Chang, Xiao-Heng
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
381
Lastpage :
384
Abstract :
This paper studies the H filtering problem of linear uncertain systems with polytopic uncertainties. By introducing some slack matrices and using the parameter-dependent Lyapunov function approaches, sufficient conditions for the existence of such filter are expressed in terms of linear matrix inequalities (LMIs). And, a convex analysis procedure is implemented to derive the filter gain matrices. Finally, a numerical example is presented to illustrate the theoretical developments.
Keywords :
H filters; Lyapunov methods; linear matrix inequalities; linear systems; uncertain systems; H∞ filtering problem; LMI approach; convex analysis procedure; linear matrix inequalities; linear uncertain systems; parameter-dependent Lyapunov function approaches; polytopic uncertainties; slack matrices; Filtering; Linear matrix inequalities; Lyapunov methods; Noise; Robustness; Symmetric matrices; Uncertain systems; H filtering; Linear matrix inequalities (LMIs); Uncertain systems; parameter-dependent Lyapunov function; slack matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244057
Filename :
6244057
Link To Document :
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