Stability of stochastic neural networks with Markovian jumping parameters

• 作 者: Hua Mingang Deng Feiqi Peng Yu
• 机 构: Coll.ofAutomationScienceandEngineering
• 出 处: 系统工程与电子技术：英文版
• 发表日期: 2009年3期
• 关键词: 随机神经网络 全局渐近稳定 LYAPUNOV泛函方法 Ito微分规则 线性矩阵不等式 延迟神经网络 稳定性条件 时滞相关 stochastic neural n
• 基金项目: This project was supported by the National Natural Science Foundation of China （60874114）.

<正>The global asymptotical stability for a class of stochastic delayed neural networks(SDNNs)with Markovian jumping parameters is considered.By applying Lyapunov functional method and It(?)'s differential rule, new delay-dependent stability cond