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|Title:||Full- and reduced-order filter design for discrete-time T-S fuzzy systems with time-varying delay|
|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|
|Conference Name:||IEEE Conference on Decision and Control (51st : 2012 : Maui, Hawaii)|
|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|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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