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Research Article Open access CC BY 4.0

New Approach to Exponential H∞ Filtering for Uncertain Singular Systems with Markovian Switchings

Mengzhuo Luo, Shouming Zhong

Journal of Advances in Mathematics and Computer Science · pp. 1–20 · Published 29 May 2018

10.9734/JAMCS/2018/40826

Abstract

In this paper, the problem of exponential H∞ filtering is investigated for uncertain singular Markovian jump systems(SMJSs) with time-varying delay. A mode dependent approach is presented to deal with it. By constructing a stochastic Lyapunov functional and employing some novel integral inequalities, a filtering design criterion is proposed under which the resulting filtering error system is robustly exponentially mean-square admissible with a prescribed H∞ performance index. Based on this, the proper gain matrices and optimal H∞ performance index can be efficiently obtained via solving a convex optimization problem subject to some linear matrix inequalties(LMIs). Finally, a numerical example is given to demonstrate the reduced conservatism and effectiveness of the presented general filtering technique.

H∞ ltering Markovian jump systems exponentially mean-square addmissible time- varying delay singular systems.

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