Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses

Fault diagnosis and fault‐tolerant control for bilinear stochastic distribution systems with actuator fault

“…. From Equation (7), it can be seen that the weights can be calculated when the output PDF is measured. If the width 𝜇 i and the central value 𝜎 i of the RBF basis function are identified, the state space model of the weights could be built by methods such as subspace identification or least squares estimation.…”

“…In recent years, there have been a lot of studies on FD and FTC for SDS. In paper, 7 when there are uncertainties and time delays in the system, combining robust state feedback and iterative learning control, the FTC algorithm guaranteed that the system has good H‐infinity performance and obtains good control results. In literature, 8 a neural network‐based FTC method is proposed to address the control problem of nonlinear systems in case of actuator failure, which can greatly reduce the time of fault regulation and reduces the adverse effect of fault on the SDC system.…”