New Delay-Dependent Global Exponential Stability Criterion for Cellular-Type Neural Networks With Time-Varying Delays
โ Scribed by Cheng-De Zheng; Huaguang Zhang; Zhanshan Wang
- Book ID
- 115510238
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 2009
- Tongue
- English
- Weight
- 132 KB
- Volume
- 56
- Category
- Article
- ISSN
- 1549-7747
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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