...
机译:混合时变时滞神经网络的时滞相关H_∞状态估计
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain 15551, United Arab Emirates,Nonlinear Dynamics Group, Department of Electrical Engineering, Yeungnam University, 214-1 Dae-dong, Kyongsan 712-749, Republic of Korea;
National Laboratory of Industrial Control Technology, Institute of Cyber-System and Control, Zhejiang University, Yuquan Campus, Hangzhou 310027, PR China;
Nonlinear Dynamics Group, Department of Electrical Engineering, Yeungnam University, 214-1 Dae-dong, Kyongsan 712-749, Republic of Korea;
Department of Mathematics, Sungkyunkwan University, Suwon 440 746, South Korea;
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain 15551, United Arab Emirates;
H_∞ estimation; Guaranteed performance; Mixed time-varying delays; Neural networks;
机译:混合区间时变时滞的Takagi-Sugeno模糊Hopfield神经网络的时滞相关鲁棒渐近状态估计
机译:混合随机时变时滞的Markovian跳跃模糊Hopfield神经网络的时滞相关鲁棒指数状态估计
机译:具有时变时滞和噪声干扰的随机神经网络的时滞相关H_∞和广义H_2滤波
机译:具有时变延迟的静态神经网络的新型延迟依赖性H_∞状态估计
机译:具有时变时间延迟的内在稳定动态网络和交换网络的指数稳定性
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:具有间隔时变延迟信号的中性型神经网络的延迟依赖稳定性标准,泄漏延迟效应下