DocumentCode :
442253
Title :
Reduced-order filtering for descriptor systems with Markovian switching
Author :
Zhang, Xiaomei ; Lu, Guoping ; Zheng, Yufan
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
Volume :
1
fYear :
2005
fDate :
26-29 June 2005
Firstpage :
277
Abstract :
This paper deals with the filtering problem for a class of continuous-time descriptor systems with Markovian jumping parameters. The purpose of the problem addressed is to design a reduced-order filter such that the dynamics of each estimation error is guaranteed to be exponentially stable in the mean square. Sufficient conditions for the existence of such reduced-order filters are given, which are described by a set of linear matrix inequalities. An example is presented to illustrate the effectiveness of the proposed method.
Keywords :
Markov processes; asymptotic stability; continuous time systems; filtering theory; linear matrix inequalities; mean square error methods; reduced order systems; state estimation; time-varying systems; Markovian jumping parameters; Markovian switching; continuous-time descriptor systems; estimation error; exponential stability; linear matrix inequalities; mean square error; reduced-order filtering; Estimation error; Filtering; Filtration; Linear matrix inequalities; Nonlinear filters; Power system interconnection; Power system modeling; State estimation; Sufficient conditions; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
Type :
conf
DOI :
10.1109/ICCA.2005.1528131
Filename :
1528131
Link To Document :
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