In this paper, the problem of global exponential stability for cellular neural networks (CNNs) with time-varying delays and fixed moments of impulsive effect is studied. A new sufficient condition has been presented ensuring the global exponential stability of the equilibrium points by using piecewi
Global exponential stability for impulsive cellular neural networks with time-varying delays
โ Scribed by Shair Ahmad; Ivanka M. Stamova
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 245 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0362-546X
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โฆ Synopsis
In this paper, we study the problem of global exponential stability for cellular neural networks (CNN) with time-varying delays and fixed moments of impulsive effect. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique.
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