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