In this paper the convergence behavior of delayed shunting inhibitory cellular neural networks with time-varying coefficients are considered. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to the zero point, which are new and complement
Exponential convergence behavior of solutions to shunting inhibitory cellular neural networks with delays and time-varying coefficients
โ Scribed by Yaqiong Li; Lihong Huang
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 196 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0895-7177
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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, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Liapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The