An LMI-Based Risk Assessment of Leader–Follower Multi-Agent System Under Stealthy Cyberattacks
Sounghwan Hwang, Minhyun Cho, Sung-Soo Kim, Inseok Hwang · IEEE Control Systems Letters · 2023
This paper proposes a methodology for assessing the potential risk from cyberattacks in multi-agent systems (MASs). MASs inherently rely on communication between agents, rendering them more vulnerable to cyberattacks than single-agent systems. The impact of cyberattacks could lead to performance disruption and safety violations. To address these concerns, we propose a risk assessment method for MASs using reachability analysis which computes the reachable set of the MASs via a Lyapunov function and its corresponding linear matrix inequalities (LMIs). The proposed method can quantify the potential risk against cyberattacks at agent and entire system levels by deriving ellipsoidal over-approximated reachable sets. An illustrative example is provided to validate the potency of the method, which shows the risk associated with the formation control of a leader-following MAS in an adversarial environment with scattered obstacles.