DocumentCode :
634967
Title :
Distributed state estimation for Lur´e systems in sensor networks with impulsive effects and intermittent measurements
Author :
Xiaomei Zhang ; Lei Yan ; Yufan Zheng
Author_Institution :
Sch. of Electron. & Inf., Nantong Univ., Nantong, China
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper is concerned with the problem of distributed state estimation for Lur´e systems in sensor networks with impulsive effects and intermittent measurements. Based on a Lyapunov function method, sufficient conditions are presented which ensure all node estimators converging asymptotically. The gains of the estimators are obtained by solving certain linear matrix inequalities with some algebra constraints. Numerical examples are given to illustrate the effectiveness of the proposed estimation method.
Keywords :
Lyapunov methods; convergence; linear matrix inequalities; nonlinear systems; state estimation; topology; Lur´e systems; Lyapunov function method; algebra constraints; asymptotic convergence; distributed state estimation; estimator gains; impulsive effect; intermittent measurement; linear matrix inequalities; node estimators; sensor network; sufficient conditions; topology; Educational institutions; Estimation error; Linear matrix inequalities; Lyapunov methods; Network topology; State estimation; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6605999
Filename :
6605999
Link To Document :
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