Novel Global Ezponential Stability Analysis for BAM Neural Networks with Time-Varying Delays

摘要：

This paper considers the global exponential stability problem for a class of bidirectional associative memory (BAM) neural networks time-varying delays. By employing Lyapunov functional method and resorting to the less conservative technique for estimating the derivative of Lyapunov functional, the improved delay-dependent exponential stability criterion is derived in terms of linear matrix inequalities (LMIs). Numerical example is presented to illustrate the less conservativeness of the obtained result.

关键词： Ezponential stability BAM neural networks Time-varying delays Linear matriz inequalities (LMIs)

作者: Yonggang Chen Shoujia Huang Jingben Yin Qingbo Li

作者单位: Department of Mathematics, Henan Institute of Science and Technology, Xinxiang 453003, China Department of Mathematics and Information Science, Zhengzhou University of Light Industry,Zhengzhou

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4355-4360

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）