On Robust Stability For Stochastic Neural Networks Of Neutral-Type With Uncertainties And Time-Varying Delays

摘要：

This paper is concerned with the robust stability analysis problem for stochastic neural networks of neutraltype with uncertainties and time-varying delays. Novel stability criteria are proposed in terms of linear matrix inequality (LMI) by defining a Lyapunov-Krasovskii functional and using the stochastic analysis technique. Two examples are given to show the effectiveness of the obtained conditions.

关键词： robust stability stochastic neural networks neutral-type lyapunov-krasovskii functional time-varying delays

作者: Guoquan Liu Simon X. Yang

作者单位: College of AutomationChongqing UniversityChongqing, China School of Engineering University of Guelph Guelph, Ontario, Canada

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 69-74

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）