Exponential Stability of Delayed Reaction-Diffusion Neural Networks with Markovian Jumping Parameters Based on State Estimation

摘要：

This paper deals with the exponential stability problem for a class of delayed reaction-diffusion neural networks with Markovian jumping parameters. Based on the state estimation of jump parameters, a suitable stochastic Lyapunov-Krasovskii functional is employed to develop a sufficient condition for the exponential stability in terms of linear matrix inequalities (LMIs). A numerical example is provided to show the effectiveness of the proposed approach.

关键词： Neural Networks Stochastic Exponential Stability Markovian Jumping Parameter Reaction-Diffusion

作者: LIU Yan SUN Duoqing MA Huiquan

作者单位: Institute of Mathematics and Systems Science, Hebei Normal University of Science and Technology, Qin Institute of Mathematics and Systems Science, Hebei Normal University of Science and Technology, Qin

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3267-3272

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）