Finite Time Synchronization of Dual Time Scale Neural Networks with Reaction-diffusion Terms
In this paper,we study the synchronization problem of a two-time-scale neural network with a reaction-diffusion term in finite time.Firstly,according to the finite-time stability theory,the stability results of the network in a finite time are introduced.Then,we design an exponential state feedback controller,and use some inequality tricks to theoretically prove it by constructing a suitable Lyapunov function.Finally,the validity of our results is verified by simulation.
reaction diffusiondouble time scalelimited timesynchronize
万方数据
维普
