Improved delay-dependent stability criteria for T-S fuzzy systems with time-varying delay

Title
Improved delay-dependent stability criteria for T-S fuzzy systems with time-varying delay
Author(s)
박주현증홍병J.W. Xia[J.W. Xia]S.P. Xiao[S.P. Xiao]
Keywords
NONLINEAR-SYSTEMS; ROBUST STABILITY; NEURAL-NETWORKS; STABILIZATION CONDITIONS; NEUTRAL SYSTEMS; OBSERVER; DESIGN; SYNCHRONIZATION; LMI
Issue Date
201405
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.235, pp.492 - 501
Abstract
This paper is concerned with the robust stability of uncertain T-S fuzzy systems with time-varying delay. A novel Lyapunov-Krasovskii functional is established by employing the idea of combining delay-decomposition with state vector augmentation. Then, by employing some integral inequalities and the reciprocally convex approach, some less conservative delay-dependent stability criteria are obtained. The proposed stability conditions are formulated in the form of linear matrix inequalities (LMIs), which can be solved efficiently with Semi-Definite Programming (SDP) solvers. Finally, four numerical examples are provided to show that the proposed conditions are less conservative than existing ones. (C) 2014 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/32263http://dx.doi.org/10.1016/j.amc.2014.03.005
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
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