Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks
Xu Jin, Wassim M. Haddad · 2018
In this paper, we develop a distributed robust adaptive control architecture for addressing networked multiagent systems subject to agent model uncertainty, exogenous stochastic disturbances, and compromised sensor and actuators. Specifically, for a class of linear leader-follower multiagent uncertain systems, we develop a robust adaptive control design protocol for each follower. The proposed adaptive controller guarantees uniform ultimate boundedness of the state tracking error for each agent in a mean-square sense.