Secure Control for Markov Jump Cyber-Physical Systems Subject to Malicious Attacks: A Resilient Hybrid Learning Scheme

• Published in: IEEE transactions on cybernetics Vol. 54; no. 11; pp. 7068 - 7079
• Main Authors: Shen, Hao, Wang, Yun, Wu, Jiacheng, Park, Ju H., Wang, Jing
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2024
• Subjects: Games; Hybrid learning; Markov jump cyber-physical systems (MJCPSs); Optimal control; Q-learning; reinforcement learning (RL); resilient control; Riccati equations; Sensors; System dynamics; zero-sum game

This article focuses on solving the secure control problem by developing a novel resilient hybrid learning scheme for discrete-time Markov jump cyber-physical systems with malicious attacks. Within the zero-sum game framework, the secure control problem is converted into solving a set of game couple...