Anti-synchronization control of unknown chaotic neural networks with delay and noise perturbation

In this paper, anti-synchronization control of unknown chaotic neural networks with delay and noise perturbation has been considered. By employing the Lyapunov-Krasovskii functional method to design a controller, a series of theory and corollaries are established that guarantee the exponential stability of a pair of master and slave unknown chaotic neural networks system with stochastic noise. In the end, simulation result is shown to verify the effectiveness of built theory and corollaries in this paper.