Adaptive Control for Multiagent Systems with Sensor–Actuator Attacks and Stochastic Disturbances

Abstract

In this paper, distributed state and output feedback adaptive consensus control protocols are developed for addressing networked multiagent systems subject to exogenous stochastic disturbances as well as sensor and actuator attacks. Specifically, for a class of linear leader–follower multiagent systems with an undirected communication graph topology, state and output feedback adaptive control design protocols are developed for each follower agent to address malicious attacks on the actuator signals of the follower agents as well as sensor attacks on the state and output neighborhood synchronization error measurements. The proposed adaptive controllers involve an indirect adaptive architecture that estimates and compensates for the malicious attacks while guaranteeing uniform ultimate boundedness of the state tracking error for each agent in a mean-square sense.