Title
Distributed state estimation for Lur'e systems in sensor networks with impulsive effects and intermittent measurements
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.
Year
DOI
Venue
2013
10.1109/ASCC.2013.6605999
ASCC
Keywords
Field
DocType
sensor network,intermittent measurement,state estimation,algebra constraints,nonlinear systems,estimator gains,convergence,lur'e systems,sufficient conditions,asymptotic convergence,topology,distributed state estimation,linear matrix inequalities,node estimators,lyapunov function method,lyapunov methods,impulsive effect,network topology,symmetric matrices
Convergence (routing),Lyapunov function,Nonlinear system,Matrix (mathematics),Control theory,Wireless sensor network,Mathematics,Estimator
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-5767-8
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Xiaomei Zhang100.68
Lei Yan200.34
Yufan Zheng3101.88