Model Free Adaptive Consensus Control for Multiagent Systems with Actuator Faults

The model free consensus control issue of multiagent systems under actuator faults is investigated in this paper. In order to address the actuator faults, an adaptive estimation law is developed adaptively to estimate the fault information online on the basis of the neighboring output tracking error. Then, a distributed model free adaptive fault-tolerant control approach is constructed to realize consensus tracking. Compared with previous methods, the dependence on constructing RBFNN to handle faults is avoided. Moreover, only input/output data information are employed instead of the known system model. To prove the effectivenss of established scheme, a simulation is offered at the end.