Global exponential stability of periodic neural networks with time-varying delays
โ Scribed by Haijun Jiang; Jinde Cao
- Book ID
- 113814680
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 361 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0925-2312
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๐ SIMILAR VOLUMES
The paper presents theoretical results on the global exponential periodicity and global exponential stability of a class of recurrent neural networks with various general activation functions and time-varying delays. The general activation functions include monotone nondecreasing functions, globally
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.