Privacy-Preserving Attack-Resilient Bipartite Output Containment
A fully-distributed bilayer control framework that keeps heterogeneous multi-agent systems on a signed digraph within the dynamic convex hull spanned by multiple leaders (bipartite output containment) despite exponentially unbounded false data injection attacks on both the actuator (cyber-physical) layer and the observer layer, while preserving the privacy of transmitted leader and observer states against eavesdroppers. Attack-resilient adaptive observers and controllers combined with time-varying mask functions achieve uniformly-ultimately-bounded containment error, proven by Lyapunov analysis.
Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded
This control-theory paper proposes a fully-distributed, privacy-preserving, attack-resilient bilayer defense framework that solves the bipartite output containment problem for heterogeneous multi-age…