Dual‐Mode Filtering Event‐Triggered MPC Strategy for Networked Control System With Hybrid Attacks

ABSTRACT This paper presents an event‐triggered model predictive control (MPC) compensation strategy for a networked control system (NCS) exposed to mixed attacks and external disturbances. Mixed attacks, including random denial‐of‐service (DoS) attacks and deceptive attacks, are modeled and analyzed using Markov and Bernoulli models. Additionally, a cost function and a Lyapunov function for attack compensation are proposed, ensuring that the predictive compensation controller can effectively counter both mixed attacks and external disturbances, thereby enhancing the robustness and control performance of the system. Finally, the effectiveness and feasibility of the proposed control strategy are established through multiple simulation comparisons under different event‐triggering mechanisms and varying attack frequencies.