Passivity-based control for Hopfield neural networks using convex representation

Title
Passivity-based control for Hopfield neural networks using convex representation
Author(s)
박주현D.H. Ji[D.H. Ji]J.H. Koo[J.H. Koo]S.C. Won[S.C. Won]S.M. Lee[S.M. Lee]
Keywords
TIME-VARYING DELAYS; DEPENDENT ASYMPTOTIC STABILITY; CRITERIA; SYSTEM
Issue Date
201103
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.217, no.13, pp.6168 - 6175
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.
URI
http://hdl.handle.net/YU.REPOSITORY/25506http://dx.doi.org/10.1016/j.amc.2010.12.100
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
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