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Delay-dependent stability for uncertain cellular neural networks with discrete and distribute time-varying delays. (English) Zbl 1169.93400

Summary: 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.

MSC:

93D99 Stability of control systems
92B20 Neural networks for/in biological studies, artificial life and related topics
90C25 Convex programming

Software:

LMI toolbox
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Full Text: DOI

References:

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