Further results on mean square exponential stability of uncertain stochastic delayed neural networks

摘要：

This letter is concerned with the mean square exponential stability problem for a class of uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be neither monotonic, nor differentiable. The proposed delay-dependent stability criterion is derived by utilizing the constructed Lyapunov-Krasovskii functional and the novel technique. A numerical example is presented to show the effectiveness and improvement of the proposed method.

关键词： Stochastic neural networks Time-varying delay Mean square exponential stability Linear matrix inequalities

作者: Yuanyuan Wu Yuqiang Wu

作者单位: School of Automation, Southeast University, Nanjing 210096 Research Institute of Automation, Qufu Normal University, Qufu 273165, China

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: 2830-2834

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）