This paper studies the existence and global exponential stability of equilibrium for high-order neural networks with time-varying delays. 在没有假定激励函数有界、可微的情况下,研究包含分布时滞的动态神经网络平衡点的存在性、唯一性和全局指数(GE)稳定性。
Global Exponential(GE) Stability of Periodic Solution of a Class of Cell Neural Networks with Variable Coefficients and Mixed Time-Varying Delays 一类变系数混合时滞细胞神经网络周期解的存在性和全局指数(GE)稳定性
Global Exponential(GE) Stability of Cellular Neural Networks with Impulses and Delays 具有脉冲和时滞的细胞神经网络的全局指数(GE)稳定性
On the Global Exponential(GE) Stability and Convergence of Neural Networks with Time-Varying Delays 变时延神经网络的全局指数(GE)稳定性及收敛性
Global Exponential(GE) Stability of a Class of Nonlinear Dynamical Systems with Time Delays 一类时滞非线性动力系统的全局指数(GE)稳定性