Fault Tolerant Control for Nonlinear Networked Stochastic Distribution Systems With Quantized Signals and Packet Dropouts

The fault-tolerant tracking control problem is investigated for nonlinear networked stochastic distribution systems (SDSs) under signal quantization, packet loss and system noise. Firstly, a novel logarithmic uniform quantizer is used to quantize the control signal and feedback signal and a data packet loss model is established through Bernoulli random process, which establishes the theoretical foundation for subsequent fault diagnosis (FD). On this basis, a FD observer is designed, which can accurately estimate the fault information under noise and provide reliable fault estimation information for subsequent fault-tolerant control (FTC). Subsequently, to maintain satisfactory tracking performance after fault occurrence, a state feedback fault-tolerant tracking control strategy is proposed based on the parallel distributed compensation technique. Finally, the superiority of the presented FTC method is proven through a numerical example and a practical example.