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, SC; Ji, DH; Park, JH; Won, 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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