Journal of applied mathematics & informatics
- Volume 26 Issue 5_6
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- Pages.961-972
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- 2008
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- 2734-1194(pISSN)
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- 2234-8417(eISSN)
ON GLOBAL EXPONENTIAL STABILITY FOR CELLULAR NEURAL NETWORKS WITH TIME-VARYING DELAYS
- Kwon, O.M. (School of Electrical & Computer Engineering, Chungbuk National University) ;
- Park, Ju-H. (Nonlinear Dynamics Laboratory, Department of Electrical Engineering Yeungnam University) ;
- Lee, S.M. (Platform Verification Division, BcN Business Unit, KT Co. Ltd.)
- Published : 2008.09.30
Abstract
In this paper, we consider the global exponential stability of cellular neural networks with time-varying delays. Based on the Lyapunov function method and convex optimization approach, a novel delay-dependent criterion of the system is derived in terms of LMI (linear matrix inequality). In order to solve effectively the LMI convex optimization problem, the interior point algorithm is utilized in this work. Two numerical examples are given to show the effectiveness of our results.