For the non‐Gaussian stochastic distribution control system using Takagi‐Sugeno fuzzy model, a new fault diagnosis and sliding mode fault tolerant control algorithm is presented. First, a new adaptive fault diagnosis algorithm is adopted to diagnose the fault that occurred in the system, and the observation error system is proven to be uniformly bounded. Second, the sliding mode control algorithm is used to reconfigure the controller, based on the fault estimation information. The post‐fault probability density function can still track the given distribution, leading to fault tolerant control of non‐Gaussian stochastic distribution control systems using Takagi‐Sugeno fuzzy model. Finally, simulation results show the effectiveness of the proposed method.
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.
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