Distributed model free adaptive fault-tolerant consensus tracking control for multiagent systems with actuator faults

Abstract

The model free fault-tolerant consensus tracking control problem is studied for the multiagent systems with actuator faults. To reduce the impact of fault, an adaptive estimation law is developed to estimate the fault information online, which doesn't need an additional training and can reduce the computational cost. With the help of the adaptive fault compensation, a distributed model free adaptive fault-tolerant consensus tracking mechanism is designed to guarantee that agents are able to track the expected signal. Furthermore, only the input/output data of agents are employed throughout the design process, the system dynamics are not required. The effectiveness of developed approach is illustrated through the simulation examples.