On Resilient Design of Cooperative Systems in Presence of Cyber-Attacks

This paper develops a resilient cooperative control system for leader-follower consensus problems subject to false data injection attacks. The attackers are assumed to inject unknown bounded exogenous signals to the actuators of followers and/or the communication networks of the leader and follower states. In order to attenuate the effects of such attacks on the consensus and stability of the system, we develop a cooperative control system augmented with a virtual network and interconnected with a leader and followers so that the leader-follower consensus is guaranteed under unknown attacks. A Lyapunov-based design framework is proposed to guarantee stability and leader-follower consensus against attacks. The effectiveness of the theoretical results is evaluated through a simulation example.acceptedVersionPeer reviewe

Resilient Average Consensus on General Directed Graphs in Presence of Cyber-Attacks

This paper proposes a resilient distributed control scheme that ensures average consensus in multi-agent systems with continuous-time single-integrator kinematics in the presence of cyber-attacks. Potential cyber-attacks considered on such systems are in the form of unknown uniformly bounded false data injection (FDI) to control input channels (actuators) and also eavesdropping attacks. The purpose of such cyber-attacks is to disturb the average consensus in multi-agent systems and also to disclose the states of agents. The proposed resilient distributed average consensus protocol includes a set of virtual variables/states being exchanged via a communication network given by a general directed graph (digraph) and is designed to make the closed-loop system stable and preserve the average consensus regardless of the existence of cyber-attacks. Unlike the existing literature, the proposed distributed average consensus framework does not require any conditions on directed graphs to be strongly connected, balanced, or symmetric. A graph-theoretical approach, Lyapunov direct method, and LaSalle’s invariance principle are used to guarantee the rigorous stability of multi-agent systems augmented with the proposed distributed algorithm. Simulation results validate the theoretical contributions of this paper.publishedVersionPeer reviewe