Robust Stability Criterion for Uncertain Neural Networks with Time Delay

摘要：

In this paper, robust stability criterion for uncertain neural networks with time delays is investigated. Firstly, based on Lyapunov-Krasovskii functional method, the sufficient conditions for asymptotical stability of a class of neural networks are present. Then, a new delay-dependent robust stability criterion is given in forms of linear matrix inequalities technique. Finally, a numerical example is given to illustrate the effectiveness of our result.

关键词： Uncertain neural networks Time delay Lyapunov–Krasovskii functional Robust stability

作者: SU Yongfeng DONG Yali WEI Jun

作者单位: School of Science, Tianjin Polytechnic University, Tianjin 300387, PR China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 524-529

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）