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\(H_\infty \) filtering for stochastic singular fuzzy systems with time-varying delay

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Abstract

This paper considers the \(H_\infty \) filtering problem for stochastic singular fuzzy systems with time-varying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled by Ito-type stochastic differential equations. Based on an auxiliary vector and an integral inequality, a set of delay-dependent sufficient conditions is established, which ensures that the filtering error system is \({\mathrm{e}^{\lambda t}}\)-weighted integral input-to-state stable in mean (iISSiM). A fuzzy filter is designed such that the filtering error system is impulse-free, \({\mathrm{e}^{\lambda t}}\)-weighted iISSiM and the \(H_\infty \) attenuation level from disturbance to estimation error is below a prescribed scalar. A set of sufficient conditions for the solvability of the \(H_\infty \) filtering problem is obtained in terms of a new type of Lyapunov function and a set of linear matrix inequalities. Simulation examples are provided to illustrate the effectiveness of the proposed filtering approach developed in this paper.

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Correspondence to Qingling Zhang.

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Zhao, F., Zhang, Q., Yan, X. et al. \(H_\infty \) filtering for stochastic singular fuzzy systems with time-varying delay. Nonlinear Dyn 79, 215–228 (2015). https://doi.org/10.1007/s11071-014-1658-9

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  • DOI: https://doi.org/10.1007/s11071-014-1658-9

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