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机译:带延迟的Cohen-Grossberg型双向联想记忆神经网络指数鲁棒稳定性的基于线性矩阵不等式的准则
Department of Mathematics, Southeast University, Nanjing, People's Republic of China;
Department of Mathematics, Southeast University, Nanjing, People's Republic of China;
Department of Mathematics, Southeast University, Nanjing, People's Republic of China;
CG‐type BAM neural networks; global exponential stability; global exponential robust stability; linear matrix inequality (LMI);
机译:具有混合时滞和脉冲的双向双向联想记忆Cohen-Grossberg神经网络的指数稳定性准则
机译:具有范数界不确定性的时滞Cohen-Grossberg型双向联想记忆神经网络的鲁棒稳定性分析
机译:时滞对Cohen-Grossberg型双向联想记忆神经网络稳定性的冲动效应
机译:具有中性时变时滞的Cohen-Grossberg型双向联想记忆神经网络的周期振荡
机译:基于线性矩阵不等式的非线性自适应鲁棒控制及其在无人机系统中的应用
机译:具有分布时滞和脉冲的中立型Cohen-Grossberg分流抑制性细胞神经网络的概周期解的全局指数稳定性
机译:具有混合时滞和脉冲的模糊双向联想记忆Cohen-Grossberg神经网络的指数稳定性准则