Tie-Shan Li

Event-Based Human-in-the-Loop Optimal Bipartite Consensus Control for Multiagent Systems Under False Data Injection Attacks

This work primarily addresses the dynamic event-triggered human-in-the-loop (HiTL) optimal bipartite consensus control problem for nonlinear multiagent systems (MASs) under false data injection attacks. First, a supervisor is introduced to monitor the MASs, sending commands to leader to avoid emergencies. A zero-sum ga...