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 neutral-type 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 Automation, Chongqing University, Chongqing, China College of Automation, Chongqing University, Chongqing, China School of Engineering, University of

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 716-722

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）