New conditions for global exponential stability of cellular neural networks with delays
โ Scribed by Hongyong Zhao; Jinde Cao
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 245 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0893-6080
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๐ SIMILAR VOLUMES
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.
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