Passivity-based control for Hopfield neural networks using convex representation
SCIE
SCOPUS
- Title
- Passivity-based control for Hopfield neural networks using convex representation
- Authors
- Ji, DH; Koo, JH; Won, SC; Lee, SM; Park, JH
- Date Issued
- 2011-03-01
- Publisher
- ELSEVIER SCIENCE INC
- Abstract
- This paper considers the problem of passivity-based controller design for Hopfield neural networks. By making use of a convex representation of nonlinearities, a feedback control scheme based on passivity and Lyapunov theory is presented. A criterion for existence of the controller is given in terms of linear matrix inequality (LMI), which can be easily solved by a convex optimization problem. An example and its numerical simulation are given to show the effectiveness of the proposed method. (C) 2010 Elsevier Inc. All rights reserved.
- Keywords
- Hopfield neural network; H(infinity) passivity; Convex problem; LMI; TIME-VARYING DELAYS; DEPENDENT ASYMPTOTIC STABILITY; CRITERIA; SYSTEM
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/17539
- DOI
- 10.1016/J.AMC.2010.12.100
- ISSN
- 0096-3003
- Article Type
- Article
- Citation
- APPLIED MATHEMATICS AND COMPUTATION, vol. 217, no. 13, page. 6168 - 6175, 2011-03-01
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