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.
Global exponential stability of impulsive cellular neural networks with time-varying delays via fixed point theory
โ Scribed by Zhang, Yutian; Luo, Qi
- Book ID
- 120442784
- Publisher
- Springer International Publishing AG
- Year
- 2013
- Tongue
- English
- Weight
- 221 KB
- Volume
- 2013
- Category
- Article
- ISSN
- 1687-1839
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