A Novel approach to filter design for T-S fuzzy discrete-time systems with time-varying delay
Date
2012
Authors
Su, X.
Shi, P.
Wu, L.
Song, Y.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Fuzzy Systems, 2012; 20(6):1114-1129
Statement of Responsibility
Xiaojie Su, Peng Shi, Ligang Wu and Yong-Duan Song
Conference Name
Abstract
In this paper, the problem of l2- l∞ filtering for a class of discrete-time Takagi-Sugeno (T-S) fuzzy time-varying delay systems is studied. Our attention is focused on the design of full- and reduced-order filters that guarantee the filtering error system to be asymptotically stable with a prescribed H∞ performance. Sufficient conditions for the obtained filtering error system are proposed by applying an input-output approach and a two-term approximation method, which is employed to approximate the time-varying delay. The corresponding full- and reduced-order filter design is cast into a convex optimization problem, which can be efficiently solved by standard numerical algorithms. Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.