机译:延迟忆阻神经网络的非脆弱状态观察:连续时间情况和离散时间情况
Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China;
Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China|King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah 21589, Saudi Arabia;
King Abdulaziz Univ, Nonlinear Anal & Appl Math NAAM Res Grp, Dept Math, Fac Sci, Jeddah 21589, Saudi Arabia;
King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah 21589, Saudi Arabia|Quaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan;
Non-fragile; State observer; Memristive neural networks; Linear matrix inequality;
机译:复合物忆内神经网络的延迟依赖性动态分析:连续时间和离散时间案例
机译:通过最大误差第一协议的延迟忆出神经网络的非脆弱的次优模型估计
机译:延迟分数次数神经网络的非脆弱状态估计
机译:时变时滞的离散忆阻神经网络的指数同步
机译:使用神经网络的时滞网络控制系统的可变采样补偿。
机译:具有混合时变时滞和随机发生的控制器增益波动的Markov跳神经网络的非脆弱混合H∞和被动同步
机译:$ H_ infty $ State估计延迟复发忆内神经网络:连续时间案例和离散时间案例