Researchers have developed a new adaptive control architecture designed to ensure resilient output containment for multi-agent systems facing actuator cyber-attacks. This system utilizes a two-layer approach: a virtual-actuator reconfiguration layer to counteract attacks using partial state measurements, and a network interface that generates commands through an adaptive protocol. The proposed method does not require global graph knowledge for tuning and, under specific network conditions, achieves asymptotic containment, with physical outputs converging to the leader's convex hull within a residual determined by local controllers. Simulation results with quadrotors demonstrate the system's effectiveness in recovering from attacks and maintaining containment tracking. AI
IMPACT Enhances the robustness of multi-agent systems against cyber threats, potentially improving autonomous coordination in critical applications.
RANK_REASON This is a research paper detailing a novel control architecture for multi-agent systems. [lever_c_demoted from research: ic=1 ai=0.7]
Read on arXiv cs.MA (Multiagent) →
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