Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer

Title
Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer
Author(s)
박주현S.C. Jeong[S.C. Jeong]D.H. Ji[D.H. Ji]S.C. Won[S.C. Won]
Keywords
GLOBAL ASYMPTOTIC STABILITY; VARYING DELAYS; DISTRIBUTED DELAYS; EXPONENTIAL SYNCHRONIZATION; COMBINATORIAL OPTIMIZATION; ROBUST STABILITY; DISCRETE; SYSTEMS; FRAMEWORK
Issue Date
201302
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.219, no.11, pp.5984 - 5995
Abstract
This paper proposes a robust adaptive control method for synchronization of uncertain chaotic neural networks with mixed delays. Uncertainty and disturbance in the networks are estimated by fuzzy disturbance observer without any prior information about them. The proposed control scheme with adaptive laws is derived based on Lyapunov-Krasovskii stability theory to guarantee the globally asymptotical synchronization between the networks. An example is illustrated to show the effectiveness of the proposed method. (C) 2012 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/26412http://dx.doi.org/10.1016/j.amc.2012.12.017
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
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