Adaptive Quantized Consensus Control for Uncertain Nonlinear Multiagent Systems with Actuator Faults

This paper studies the adaptive fault-tolerant quantized consensus control problem for a class of nonlinear multiagent systems with time-varying parameters and disturbances. With parameters compensation technique, a distributed adaptive consensus control scheme is developed, where the bound of the actuator fault parameters is estimated. Then a robust distributed adaptive quantized consensus tracking controller is designed to compensate the effect of unknown time-varying parameters and external disturbances. Based on Lyapunov stability theory, it is proven that the control strategy can guarantee the stability of the closed-loop systems, which is demonstrated by simulation results.