T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion

This paper investigates the Hankel norm filter design problem for stochastic time-delay systems, which are represented by Takagi-Sugeno (T-S) fuzzy model. Motivated by the parallel distributed compensation (PDC) technique, a novel filtering error system is established....

Full description

Saved in:
Bibliographic Details
Main Authors: Yanhui Li, Xiujie Zhou
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/937495
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832564466446761984
author Yanhui Li
Xiujie Zhou
author_facet Yanhui Li
Xiujie Zhou
author_sort Yanhui Li
collection DOAJ
description This paper investigates the Hankel norm filter design problem for stochastic time-delay systems, which are represented by Takagi-Sugeno (T-S) fuzzy model. Motivated by the parallel distributed compensation (PDC) technique, a novel filtering error system is established. The objective is to design a suitable filter that guarantees the corresponding filtering error system to be mean-square asymptotically stable and to have a specified Hankel norm performance level γ. Based on the Lyapunov stability theory and the Itô differential rule, the Hankel norm criterion is first established by adopting the integral inequality method, which can make some useful efforts in reducing conservativeness. The Hankel norm filtering problem is casted into a convex optimization problem with a convex linearization approach, which expresses all the conditions for the existence of admissible Hankel norm filter as standard linear matrix inequalities (LMIs). The effectiveness of the proposed method is demonstrated via a numerical example.
format Article
id doaj-art-49acab192bde43f19a14dd828b73cb13
institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-49acab192bde43f19a14dd828b73cb132025-02-03T01:11:00ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/937495937495T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm CriterionYanhui Li0Xiujie Zhou1College of Electrical and Information Engineering, Northeast Petroleum University, Daqing, Heilongjiang Province 163318, ChinaCollege of Electrical and Information Engineering, Northeast Petroleum University, Daqing, Heilongjiang Province 163318, ChinaThis paper investigates the Hankel norm filter design problem for stochastic time-delay systems, which are represented by Takagi-Sugeno (T-S) fuzzy model. Motivated by the parallel distributed compensation (PDC) technique, a novel filtering error system is established. The objective is to design a suitable filter that guarantees the corresponding filtering error system to be mean-square asymptotically stable and to have a specified Hankel norm performance level γ. Based on the Lyapunov stability theory and the Itô differential rule, the Hankel norm criterion is first established by adopting the integral inequality method, which can make some useful efforts in reducing conservativeness. The Hankel norm filtering problem is casted into a convex optimization problem with a convex linearization approach, which expresses all the conditions for the existence of admissible Hankel norm filter as standard linear matrix inequalities (LMIs). The effectiveness of the proposed method is demonstrated via a numerical example.http://dx.doi.org/10.1155/2014/937495
spellingShingle Yanhui Li
Xiujie Zhou
T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
Abstract and Applied Analysis
title T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
title_full T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
title_fullStr T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
title_full_unstemmed T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
title_short T-S Fuzzy Model-Based Approximation and Filter Design for Stochastic Time-Delay Systems with Hankel Norm Criterion
title_sort t s fuzzy model based approximation and filter design for stochastic time delay systems with hankel norm criterion
url http://dx.doi.org/10.1155/2014/937495
work_keys_str_mv AT yanhuili tsfuzzymodelbasedapproximationandfilterdesignforstochastictimedelaysystemswithhankelnormcriterion
AT xiujiezhou tsfuzzymodelbasedapproximationandfilterdesignforstochastictimedelaysystemswithhankelnormcriterion