Exponential synchronization of neural networks with time-varying delays
โ Scribed by Xiuzhi Gao; Shouming Zhong; Fengyin Gao
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 627 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0362-546X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this work the convergence behaviors of delayed cellular neural networks with time-varying coefficients are considered. Some sufficient conditions are established to ensure that all solutions for the networks converge exponentially to the zero point, which are new, and complement previously known
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.