A Secure Communication Framework Based on Chaotic Synchronization via Approximate Nonlinear Model Predictive Control

Hongyang Xie, Dongyu Li, Fei Dong, Qinglei Hu

Abstract: Chaotic synchronization control has shown a great potential in the field of secure communications. Due to chaotic behaviors and restricted computational resources, the efficient implementation of synchronization control remains a significant challenge and an open problem. In this letter, an active model predictive controller is developed to address the synchronization errors of the master-slave system. To meet the requirement of computational efficiency, a constrained neural network is taken as the approximation control law of the nonlinear model predictive controller. Furthermore, a secure communication framework is proposed for the networked control system. Numerical simulations illustrate the synchronization performance of the proposed method and its practical applications in secure communication.