DocumentCode :
2844010
Title :
An LMI approach to robust ℋ filtering for linear systems
Author :
Li, Huaizhong ; Fu, Minyue
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
Volume :
4
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
3608
Abstract :
In this paper, we consider the robust ℋ filtering problem for both continuous and discrete-time linear uncertain systems with energy bounded exogenous noise inputs and structural uncertainties satisfying some general integral quadratic constraints. We apply the well-known S-procedure and show that the robust ℋ filtering problem can be effectively solved using linear matrix inequalities (LMIs)
Keywords :
H optimisation; asymptotic stability; continuous time systems; discrete time systems; filtering theory; linear systems; matrix algebra; state estimation; uncertain systems; H filtering; asymptotic stability; continuous time systems; discrete-time systems; energy bounded exogenous noise inputs; integral quadratic constraints; linear matrix inequality; linear systems; uncertain systems; Deconvolution; Ear; Filtering; H infinity control; Integrated circuit noise; Linear matrix inequalities; Noise robustness; Nonlinear filters; Radar applications; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.479147
Filename :
479147
Link To Document :
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