Global Exponential Stability Analysis of Cellular Neural Networks

摘要：

This paper studies the problem of global exponential stability for the cellular neural networks (CNN). Some sufficient conditions are obtained for the global exponential stability of the equilibrium of CNN by means of Lyapunov function approach and the method of inequality analysis.

关键词： cellular neural networks Lyapunov function global exponential stability

作者: Zhou Dong-ming Zhang Li-ming

作者单位: Information College, Yunnan University, Kunming 650091, P R China Department of Electronic Engineering, Fudan University, Shanghai 200433, P R China

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1483-1486

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）