Global Exponential Stability for Uncertain Dynamic Neural Networks with Discrete and Distributed Time-varying Delays

摘要：

In this paper, the global exponential stability was discussed for the uncertain dynamic neural networks with discrete and distributed time-varying delays. The parameter uncertainties are assumed to be norm bounded. Then based on Lyapunov-Krasovskii functional stability analysis and linear matrix inequality (LMI) approach, a new sufficient condition is derived to assure the global exponential stability of the equilibrium, which general- izes the previous results in literature less conservatively.

关键词： Uncertain Distributed Discrete Lyapunov Functional LMI Global Exponential Stability

作者: Liang Wu Baolin Ma Jianfeng Cheng Jingben Yin

作者单位: Henan Institute of Science and Technology, Department of Mathematics, Henan Xinxiang 453003, China Henan Institute of Science and Technology, Department of Foreign Languages, Henan Xinxiang 453003, C

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 1273-1276

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）