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.
โฆ LIBER โฆ
Globally exponential stability for neural networks with time-varying delays
โ Scribed by Shi, Lin; Zhu, Hong; Zhong, Shouming; Hou, Liyuan
- Book ID
- 122956619
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 385 KB
- Volume
- 219
- Category
- Article
- ISSN
- 0096-3003
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