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Cited 60 time in webofscience Cited 62 time in scopus
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Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer SCIE SCOPUS

Title
Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer
Authors
Jeong, SCJi, DHPark, JHWon, SC
Date Issued
2013-02-01
Publisher
ELSEVIER SCIENCE INC
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.
Keywords
Adaptive synchronization; Mixed time delay; Chaotic neural networks; Fuzzy disturbance observer; GLOBAL ASYMPTOTIC STABILITY; VARYING DELAYS; DISTRIBUTED DELAYS; EXPONENTIAL SYNCHRONIZATION; COMBINATORIAL OPTIMIZATION; ROBUST STABILITY; DISCRETE; SYSTEMS; FRAMEWORK
URI
https://oasis.postech.ac.kr/handle/2014.oak/14630
DOI
10.1016/J.AMC.2012.12.017
ISSN
0096-3003
Article Type
Article
Citation
APPLIED MATHEMATICS AND COMPUTATION, vol. 219, no. 11, page. 5984 - 5995, 2013-02-01
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