Decentralized Data-Driven Control of Large-Scale Systems under DoS Attacks

This paper aims to design a decentralized controller for large-scale systems under denial-of-service (DoS) attacks by utilizing exclusively open-loop operational data without requiring any system parameters. Firstly, we establish a Lyapunov function with the descriptor method to develop model-based stability conditions for large-scale systems under DoS attacks. Then we employ a bounded noise signal to stimulate the system and gather the system state and input data that satisfy some requirements. By integrating this data with the model-based stability conditions, we employ the full block S-procedure to obtain a data-based design criterion. In addition, the derived data-based results are extended to the large-scale system with state-delays by using appropriate Lyapunov-Krasovskii (L-K) functional. Finally, the effectiveness of the presented method is illustrated by two examples including a platoon of heavy-duty vehicles (HDVs).