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Affine formation maneuver control for multi-agent systems against false data injection attacks based on adaptive
Yuezheng Xie1, Chenjun Liu1, Jason J R Liu1
1Department of Electromechanical Engineering, University of Macau, Macau, China.
Abstract:
This study develops an adaptive dual-terminal event-triggered control framework for secure affine formation maneuvering in multi-agent systems under false data injection (FDI) attacks. The framework integrates stress matrix-based affine localization with adaptive attack compensation, enabling followers to reconstruct attack-free states. A dual-channel triggering mechanism with time-dependent thresholds dynamically regulates communication based on state and input errors, balancing network load reduction with stability. Lyapunov analysis confirms bounded tracking errors and exclusion of Zeno behavior. Validation demonstrates effective attack mitigation, formation integrity preservation, robust performance, and communication efficiency.
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