On delayed impulsive Hopfield neural networks(1).
Many evolutionary processes, particularly some biological systems, exhibit impulsive dynamical behaviors, which can be well described by impulsive Hopfield neural networks. This paper formulates and studies a model of delayed impulsive Hopfield neural networks. Several fundamental issues such as global exponential stability, existence and uniqueness of the equilibrium of such networks are established. A numerical example is given for illustration and interpretation of the theoretical results.
Guan
Zhi Hong
ZH
Department of Automatic Control Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China
Chen
Guanrong
G