Mitigating the Effects of Sensor and Actuator Attacks in Uncertain Networked Multiagent Systems

This paper presents a novel distributed robust adaptive control architecture for leader–follower networked multiagent systems with static undirected communication graph topologies to mitigate the effects of time-varying sensor and actuator attacks, and time-invariant plant parameter uncertainty. The proposed adaptive control architecture guarantees uniform ultimate boundedness of the controlled closed-loop system. Two numerical examples are provided to illustrate the efficacy of the proposed distributed robust adaptive control architecture.