DELAY-DEPENDENT ASYMPTOTICAL STABILIZATION CRITERION OF RECURRENT NEURAL NETWORKS

摘要：

　　This paper deals with the problem of delay-dependent stability criterion of discrete-time recurrent neural networks with time-varying delays.Based on quadratic Lyapunov functional approach and free-weighting matrix approach,some linear matrix inequality criteria are found to guarantee delay-dependent asymptotical stability of these systems.And one example illustrates the exactness of the proposed criteria.

关键词： Neural networks Time-varying Delay Stability Quadratic Lyapunov functional approach

作者: Grienggrai Rajchakit

作者单位: Division of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand

会议类型: 国际会议

会议名称: 2nd International Conference on Materials Engineering and Automatic Control (第二届材料工程与自动化控制国际会议)(ICMEAC2013)

会议地点: 济南

会议语种:英文

页码: 1045-1048

在线出版日期: 2013-05-18（万方平台首次上网日期，不代表论文的发表时间）