Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/3135
Title: Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation
Authors: Wang, Z
Burnham, KJ
Keywords: Algebraic Riccati inequalities;Robust filtering;Nonlinear systems;Stochastic exponential stability;Time-delay
Issue Date: 2001
Publisher: IEEE
Citation: Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]. 49 (4) 794 - 804
Abstract: We investigate the robust filter design problem for a class of nonlinear time-delay stochastic systems. The system under study involves stochastics, unknown state time-delay, parameter uncertainties, and unknown nonlinear disturbances, which are all often encountered in practice and the sources of instability. The aim of this problem is to design a linear, delayless, uncertainty-independent state estimator such that for all admissible uncertainties as well as nonlinear disturbances, the dynamics of the estimation error is stochastically exponentially stable in the mean square, independent of the time delay. Sufficient conditions are proposed to guarantee the existence of desired robust exponential filters, which are derived in terms of the solutions to algebraic Riccati inequalities. The developed theory is illustrated by numerical simulation
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URI: http://bura.brunel.ac.uk/handle/2438/3135
ISSN: 1053-587X
Appears in Collections:Computer Science
Dept of Computer Science Research Papers



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