Exponential Stability of Cellular Neural Networks

摘要：

In this paper, both the global exponential stability and the local exponential stability for a class cellular neural networks are discussed and new sufcient conditions are obtained. Specically, we give a criterion for whether the cellular neural networks is globally exponentially stable or is locally exponentially stable. We also present an estimate on the domains of attraction of locally exponentially stable equilibrium point by constructing a suitable Lyapunov function and using the Taylor expansion method.

关键词： cellular neural networks(Cnli) equilibrium point global exponential stability local exponential ability domain of attraction

作者: Hong-WuWu He-Long Li

作者单位: Department of Mathematics, School of Sciences South China University of Technology Guangzhou, Guangd Department of Electronic Commerce South China University of Technology Guangzhou, Guangdong 510006,

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 661-664

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）