Full- and reduced-order filter design for discrete-time T-S fuzzy systems with time-varying delay
Date
2012
Authors
Su, X.
Shi, P.
Wu, L.
Karimi, H.
Yang, R.
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Advisors
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Conference paper
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
Statement of Responsibility
Xiaojie Su, Peng Shi, Ligang Wu, Hamid Reza Karimi and Rongni Yang
Conference Name
IEEE Conference on Decision and Control (51st : 2012 : Maui, Hawaii)
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.
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© 2012 IEEE