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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3168

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
Publication 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 pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://bura.brunel.ac.uk/handle/2438/3168
ISSN: 1549-7747
Appears in Collections:School of Information Systems, Computing and Mathematics Research Papers
Computer Science

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