Resilient Containment of Multigroup Systems Against Unknown Unbounded FDI Attacks
Shan Zuo, Dong Yue
Abstract
This article designs a fully distributed resilient control method for networked multigroup systems in the face of unknown unbounded false data injection (FDI) attacks. The considered multigroup systems contain cooperative agents and adversarial attackers. FDI attacks on the multigroup systems include unknown unbounded injections on the local feedback state and communication channels among the network topology. A fully distributed resilient control method is proposed to guarantee the uniformly ultimately bounded containment convergence. In particular, the proposed method consists of the original cyber-physical layer and a virtual resilient layer. The method is further refined to deal with the case when both cyber-physical and virtual layers are subjected to unknown unbounded attacks. The efficacy of the proposed results is first validated on two simulation examples for both linear and nonlinear multigroup systems, and then evaluated on a modified IEEE 34-bus feeder system, emulated in a controller/hardware-in-the-loop experimental platform, to regulate frequency and voltage for islanded microgrid against malicious attacks.