Fault diagnosis and model reference tracking fault-tolerant control for the non-Gaussian nonlinear stochastic distribution control system using Takagi-Sugeno fuzzy model

For the non-Gaussian stochastic distribution control system using Takagi-Sugeno fuzzy model, a reference model with perfect dynamic features is presented. Besides, in order to diagnosis the fault that occurs in the system, an adaptive fault diagnosis algorithm is developed. Based on the estimated fault information, the fault tolerant controller can be designed to make the post-fault PDF still track the given distribution. Finally, simulation results are given to illustrate the effectiveness and potential of the proposed fault tolerant control scheme.