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

Mengzhuo Luo *

College of Science, Guilin University of Technology, Guilin, Guangxi, 541004, P.R.China.

Shouming Zhong

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, P.R.China.

*Author to whom correspondence should be addressed.


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.

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


How to Cite

Luo, Mengzhuo, and Shouming Zhong. 2018. “New Approach to Exponential H∞ Filtering for Uncertain Singular Systems With Markovian Switchings”. Journal of Advances in Mathematics and Computer Science 27 (3):1-20. https://doi.org/10.9734/JAMCS/2018/40826.

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