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Title: Filtering for networked stochastic time-delay systems with sector nonlinearity
Authors: Wei, G
Wang, Z
He, X
Shu, H
Keywords: Exponential mean-square stability;networked control system (NCS);random communication delay;random packet loss;sector nonlinearity;stochastic disturbance
Issue Date: 2009
Publisher: IEEE
Citation: Circuits and Systems II: Express Briefs, IEEE Transactions on. 56 (1)
Abstract: This paper is concerned with the filtering problem for a class of discrete-time stochastic nonlinear networked control systems with network-induced incomplete measurements. The incomplete measurements include both the multiple random communication delays and random packet losses, which are modeled by a unified stochastic expression in terms of a set of indicator functions that is dependent on certain stochastic variable. The nonlinear functions are assumed to satisfy the sector nonlinearities. The purpose of the addressed filtering problem is to design a linear filter such that the filtering-error dynamics is exponentially mean-square stable. By using the linear-matrix-inequality (LMI) method and delay-dependent technique, sufficient conditions are derived which are dependent on the occurrence probability of both the random communication delays and missing measurement. The filter gain is then characterized by the solution to a set of LMIs. A simulation example is exploited to demonstrate the effectiveness of the proposed design procedures.
Description: Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
ISSN: 1549-7747
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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