Brief paper: H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities

Authors:
Zidong Wang;Yurong Liu;Xiaohui Liu
Affiliations:
Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK;Department of Mathematics, Yangzhou University, Yangzhou 225002, PR China;Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK
Venue:
Automatica (Journal of IFAC)
Year:
2008

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Abstract

In this paper, we deal with the robust H"~ filtering problem for a class of uncertain nonlinear time-delay stochastic systems. The system under consideration contains parameter uncertainties, Ito-type stochastic disturbances, time-varying delays, as well as sector-bounded nonlinearities. We aim at designing a full-order filter such that, for all admissible uncertainties, nonlinearities and time delays, the dynamics of the filtering error is guaranteed to be robustly asymptotically stable in the mean square, while achieving the prescribed H"~ disturbance rejection attenuation level. By using the Lyapunov stability theory and Ito's differential rule, sufficient conditions are first established to ensure the existence of the desired filters, which are expressed in the form of a linear matrix inequality (LMI). Then, the explicit expression of the desired filter gains is also characterized. Finally, a numerical example is exploited to show the usefulness of the results derived.