Reinforcement Learning-Based Secure Control for 2-D Markov Jump Systems With Hybrid Cyber Attacks
This article addresses the secure control problem of 2-D Markov jump systems (MJSs) subject to hybrid cyber attacks consisting of denial-of-service (DoS) attacks and false data injection attacks. To explicitly capture the impact of DoS attacks, an augmented system is constructed via a state-compensation approach, and t...