机译:一类时滞神经网络的全局渐近稳定性
Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong;
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, People's Republic of China;
Department of Mathematics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong;
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, People's Republic of China;
global asymptotic stability; linear matrix inequality; neural networks; neutral systems; time-delay systems;
机译:一类具有时变时滞的分数阶复值神经网络的全局O(t(-alpha))稳定性和全局渐近周期分析
机译:一类时滞递归神经网络的全局渐近稳定性分析
机译:一类时滞递归神经网络的全局渐近稳定性分析
机译:具有时变延迟的静态神经网络的改进延迟依赖性全局渐近稳定性标准
机译:两类动力系统的稳定性分析:通用混合动力系统和带时滞的神经网络
机译:附加时变时滞复数值神经网络的全局渐近稳定性
机译:一类复合值中立式神经网络的存在,唯一性和全局渐近稳定性