作者: Zhiqiang Zuo , Yijing Wang
DOI: 10.1007/11816157_21
关键词: Artificial neural network 、 Mathematics 、 Linear matrix inequality 、 Control theory 、 Exponential stability 、 Delay differential equation 、 Lyapunov function 、 Cellular neural network 、 Exponential integrator 、 Nonlinear system
摘要: This paper deals with the problem of exponential stability for a class delayed neural networks described by nonlinear delay differential equations neutral type. A less conservative condition is derived based on new Lyapunov-Krasovskii functional in term linear matrix inequalities. numerical example given to illustrate effectiveness proposed methods.