Delay-dependent stability for uncertain cellular neural networks with discrete and distribute time-varying delays |
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Authors: | OM Kwon JH Park |
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Institution: | a School of Electrical and Computer Engineering, Chungbuk National University, 410 SungBong-Ro, Heungduk-Gu, Cheongju 361-763, Republic of Korea b Department of Electrical Engineering, Yeungnam University, 214-1 Dae-Dong, Kyongsan 712-749, Republic of Korea |
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Abstract: | In this paper, the problem of stability of uncertain cellular neural networks with discrete and distribute time-varying delays is considered. Based on the Lyapunov function method and convex optimization approach, a new delay-dependent stability criterion of the system is derived in terms of LMI (linear matrix inequality). In order to solve effectively the LMI as a convex optimization problem, the interior-point algorithm is utilized in this work. A numerical example is given to show the effectiveness of our results. |
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Keywords: | Neural networks Delays LMI optimization Lyapunov method |
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