New Results on Asymptotic Stability Analysis for Static Recurrent Neural Networks

摘要：

This paper focuses on the asymptotic stability analysis for static recurrent neural networks. Simplified stability criteria for static neural networks are obtained and augmented Lyapunov functionals are introduced to study the delay-dependent stability for systems. Numerical examples show the improvement over approaches in the literature.

作者: MA Qian WANG Zhen

作者单位: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, P.R.China School of Automation, Nanjing University of Science and Technology, Nanjing 210094, P.R.China Colleg

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-5

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）