Iterative Learning Secure Control for Linear Cyber-Physical Systems with Denial-of-Service Attacks

Abstract

Dear Editor, Iterative learning secure control is investigated for repetitive discrete-time linear cyber-physical systems (CPSs) with denial-of-service (DoS) attacks. A novel iterative learning security control algorithm with a tuning parameter and an attack compensation scheme is presented. By using the lifting technique, a condition in the form of the spectral radius of an iteration matrix is provided to guarantee that the tracking error under DoS attacks is convergent. It is verified by a numerical simulation example that the proposed algorithm attenuates the negative impact of the attacks and improves the convergence speed of the tracking error.