Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems

This paper is concerned with the L2-L∞ filtering problem for a kind of Takagi-Sugeno (T-S) fuzzy stochastic system with time-varying delay and parameter uncertainties. Parameter uncertainties in the system are assumed to satisfy global Lipschitz conditions. And the attention of this paper is focused...

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Main Authors: Ze Li, Xinhao Yang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/673956
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author Ze Li
Xinhao Yang
author_facet Ze Li
Xinhao Yang
author_sort Ze Li
collection DOAJ
description This paper is concerned with the L2-L∞ filtering problem for a kind of Takagi-Sugeno (T-S) fuzzy stochastic system with time-varying delay and parameter uncertainties. Parameter uncertainties in the system are assumed to satisfy global Lipschitz conditions. And the attention of this paper is focused on the stochastically mean-square stability of the filtering error system, and the L2-L∞ performance level of the output error with the disturbance input. The method designed for the delay-dependent filter is developed based on linear matrix inequalities. Finally, the effectiveness of the proposed method is substantiated with an illustrative example.
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language English
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series Abstract and Applied Analysis
spelling doaj-art-b424459f3e834b91bf3f68cf858a93ac2025-08-20T02:23:12ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/673956673956Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic SystemsZe Li0Xinhao Yang1College of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Mechanical and Electric Engineering, Soochow University, Suzhou 215006, ChinaThis paper is concerned with the L2-L∞ filtering problem for a kind of Takagi-Sugeno (T-S) fuzzy stochastic system with time-varying delay and parameter uncertainties. Parameter uncertainties in the system are assumed to satisfy global Lipschitz conditions. And the attention of this paper is focused on the stochastically mean-square stability of the filtering error system, and the L2-L∞ performance level of the output error with the disturbance input. The method designed for the delay-dependent filter is developed based on linear matrix inequalities. Finally, the effectiveness of the proposed method is substantiated with an illustrative example.http://dx.doi.org/10.1155/2014/673956
spellingShingle Ze Li
Xinhao Yang
Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
Abstract and Applied Analysis
title Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
title_full Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
title_fullStr Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
title_full_unstemmed Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
title_short Delay-Dependent Robust L2-L∞ Filtering for a Class of Fuzzy Stochastic Systems
title_sort delay dependent robust l2 l∞ filtering for a class of fuzzy stochastic systems
url http://dx.doi.org/10.1155/2014/673956
work_keys_str_mv AT zeli delaydependentrobustl2lfilteringforaclassoffuzzystochasticsystems
AT xinhaoyang delaydependentrobustl2lfilteringforaclassoffuzzystochasticsystems