DocumentCode :
1199443
Title :
Robust H filtering for uncertain Markovian jump systems with mode-dependent time delays
Author :
Xu, Shengyuan ; Chen, Tongwen ; Lam, James
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, Alta., Canada
Volume :
48
Issue :
5
fYear :
2003
fDate :
5/1/2003 12:00:00 AM
Firstpage :
900
Lastpage :
907
Abstract :
This paper considers the problem of robust H filtering for uncertain Markovian jump linear systems with time-delays which are time-varying and depend on the system mode. The parameter uncertainties are time-varying norm-bounded. The aim of this problem is to design a Markovian jump linear filter that ensures robust exponential mean-square stability of the filtering error system and a prescribed L2- induced gain from the noise signals to the estimation error, for all admissible uncertainties. A sufficient condition for the solvability of this problem is obtained. The desired filter can be constructed by solving a set of linear matrix inequalities. An illustrative numerical example is provided to demonstrate the effectiveness of the proposed approach.
Keywords :
Markov processes; delay systems; filtering theory; linear matrix inequalities; linear systems; probability; stochastic systems; uncertain systems; H filtering; Markovian jump systems; linear matrix inequalities; linear systems; noise signals; probability; robust filtering; solvability; stochastic systems; sufficient condition; time-delay systems; uncertain systems; Estimation error; Filtering; Linear systems; Noise robustness; Nonlinear filters; Robust stability; Signal design; Time varying systems; Uncertain systems; Uncertainty;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2003.811277
Filename :
1198623
Link To Document :
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