机译:离散时间延迟标准神经网络模型的与时滞相关的被动准则
Institute of Systems Science, Northeastern University, Shenyang, Liaoning 110004, PR ChinarnKey Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, Liaoning 110004, PR China;
Institute of Systems Science, Northeastern University, Shenyang, Liaoning 110004, PR ChinarnKey Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, Liaoning 110004, PR China;
rnSchool of Information Science and Engineering, Shenyang University, Shenyang, Liaoning 110044, PR China;
delayed standard neural network model; delay-dependent; robust passivity; linear matrix inequality;
机译:一类具有脉冲和多比例时滞的递归神经网络的时滞相关性和时滞无关性
机译:关于随机发生混合时间延迟的离散时间随机神经网络的无线和鲁棒的速率
机译:基于Lyapunov-Krasovskii功能的延迟依赖性矩阵的延迟神经网络的被动分析
机译:具有时变时滞的离散时间递归神经网络的新的时滞相关稳定性准则
机译:使用神经网络和多种模型的离散时间系统的非线性自适应控制。
机译:区间离散和无限分布时变时滞的离散时间递归神经网络的时滞相关状态估计器设计
机译:具有时变时滞的离散时间递归神经网络动力学分析的时滞相关LMI方法