Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/75930
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Type: Conference paper
Title: Full- and reduced-order filter design for discrete-time T-S fuzzy systems with time-varying delay
Author: Su, X.
Shi, P.
Wu, L.
Karimi, H.
Yang, R.
Citation: 51st IEEE Conference on Decision and Control, held on December 10-13,2012, Maui, Hawaii: final program and book of abstracts: pp.6193-6198
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
ISBN: 9781467320641
ISSN: 0191-2216
Conference Name: IEEE Conference on Decision and Control (51st : 2012 : Maui, Hawaii)
Statement of
Responsibility: 
Xiaojie Su, Peng Shi, Ligang Wu, Hamid Reza Karimi and Rongni Yang
Abstract: This paper is focused on the problem of H1 filtering for a class of discrete-time T-S fuzzy time-varying delay systems. Our interest is how to design full- and reducedorder filters that guarantee the filtering error system to be asymptotically stable with a prescribed H1 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.
Keywords: Approximation methods; Bismuth; delay; delay systems; educational institutions; Kalman filters; time varying systems
Rights: © 2012 IEEE
RMID: 0020124020
DOI: 10.1109/CDC.2012.6426784
Appears in Collections:Electrical and Electronic Engineering publications

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