Active Fault-tolerant Predictive Control for Networked Multi-Agent Systems with Actuator Faults and Random Communication Constraints

The fault-tolerant tracking control problem for linear dynamic networked multi-agent systems with the leader-following structure is studied. A networked active fault-tolerant predictive control method is proposed. The control method is designed to enable the output of each agent to track the reference signal and maintain the desired deviation in the networked multi-agent systems with actuator faults and two-channel random communication constraints. We derive a necessary and sufficient condition for the stability of the closed-loop system. The results show that this condition is independent of actuator faults and random communication constraints. Finally, numerical simulations validate the effectiveness of the proposed control method.