Paper Info
Title
Decentralized sampled-data H∞ fuzzy filter for nonlinear large-scale systems
Abstract
This paper presents a decentralized sampled-data H∞ fuzzy filter design method for nonlinear large-scale systems which are represented by a Takagi–Sugeno (T–S) fuzzy model. Based on the T–S fuzzy model, the error system between the nonlinear large-scale system and the filter is obtained. The discretization process of the error system is accomplished with the exact discrete-time approach to eliminate the exact-approximate mismatch. By using the discrete-time Lyapunov sense, the sufficient condition of the asymptotic stability for the error system is given and a prescribed level of the H∞ norm is ensured to guarantee the H∞ fuzzy filter performance. Finally, numerical examples are given to show the effectiveness of the proposed methods.
Year
DOI
Venue
2015
10.1016/j.fss.2014.11.024
Fuzzy Sets and Systems
Keywords
DocType
Volume
Decentralized sampled-data H∞ fuzzy filter,Nonlinear large-scale system,Takagi–Sugeno (T–S) fuzzy model,Exact discrete-time approach
Journal
273
ISSN
Citations 
PageRank 
0165-0114
11
0.53
References 
Authors
27
4
Name
Order
Citations
PageRank
Ho-Jun Kim1141.74
Geun Bum Koo2625.71
Jin Bae Park31351102.77
Young Hoon Joo473876.87