Impulsive Control And Synchronization Of Two Classes Of Chaotic Neural Networks

Based on realistic environment problem,each system will suffer different influences in the actual operation process,this will cause the system not able to achieve the stability and synchronization as expected.Therefore,this paper studies impulsive control and synchronization of two classes of chaotic neural networks.First,the stability of cellular neural network with variable-time impulsive is investi-gated.We reduce the initial system to cellular neural networks with fixed-time impulsive by B-equivalent method.By designing a feedback control system,sufficient conditions for the global exponential stability of the corresponding system is obtained,that is to say,the cellular neural networks with variable-time impulsive has the same sufficient conditions with global exponential stability.Secondly,the finite-time lag synchronization of the chaotic neural networks with random disturbance is investigated.By designing the effective discrete controller,the sufficient conditions for finite time stability of lag synchronization system of chaotic neural networks with stochastic disturbance is obtained.Based on the theory of finite time stable,et al,finite time lag synchronization of this system is achieved,and get the finite time expression.Finally,the finite-time lag synchronization of the chaotic neural networks with time-delay and bounded disturbance is investigated.By designing a simple and effective controller,combined with Lyapunov-Krasvoskii functional and certain theoretical analy-sis,the sufficient conditions for finite time stability of lag error of the system is obtained,thus realizing finite time lag synchronization of chaotic neural networks with time-delay and bounded disturbance.