Synchronization of Neutral Stochastic Neural Networks with Mixed Time Delays

摘要：

In the paper, the synchronization problem for a kind of neutral stochastic neural networks with discrete and distributed time delay (mixed time delays) is investigated by using the linear matrix inequality and description system approach. Based on the Lyapunov stability theory, several sufficient conditions ensuring the synchronization of drive-response neural netoworks are derived. Moreover, these conditions are with the form of linear matrix inequalities and can be easily solved by the LMI’s toolbox in Matlab. Finally, an illustrate example is provided to show the effectiveness of our method.

关键词： Synchronization Neutral neural network Time delay Description system

作者: WANG Tianbo ZHOU Wuneng ZHAO Dejun ZHAO Shouwei

作者单位: College of Fundamental Studies, Shanghai University of Engineering Science, Shanghai 201620, P. R. C College of Information Sciences and Technology, Donghua University, Shanghai 200051, P. R. China College of Fundamental Studies, Shanghai University of Engineering Science, Shanghai 201620, P. R. C

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: 3366-3370

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）