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Resilient state estimation for nonlinear complex networks with time-delay under stochastic communication protocol.

Authors :
Yang, Ning
Chen, Dongyan
Ji, Donghai
Wu, Zhihui
Source :
Neurocomputing. Jun2019, Vol. 346, p38-47. 10p.
Publication Year :
2019

Abstract

In this paper, the resilient state estimation problem is discussed for a class of discrete nonlinear complex networks with time-delay subject to the stochastic communication protocol (SCP). The SCP is employed to determine which node has the priority of accessing to the communication networks at each transmission instant. A switch-based approach is utilized to establish the updating rule of the measurement output under the SCP. The aim of the paper is to design a resilient state estimator for the addressed complex networks with time-delay and SCP, where sufficient conditions are given to ensure that the estimation error is exponentially ultimate bounded in the mean-square sense and the asymptotic upper bound of the estimation error is given. Moreover, the expression forms of the desired estimator gains are obtained via the solutions to a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the validity of the proposed resilient state estimation method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
346
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
136201330
Full Text :
https://doi.org/10.1016/j.neucom.2018.07.085