Abstract
In this paper, a new control method which can guarantee the success rate for PDF(Probability Density Function) tracking in general stochastic systems is developed. Relative fault detection strategies are introduced to represent the performance of the system and a fault diagnosis filter for robust fault tolerant tracking control is mentioned in order to compensate the performance losses which is caused by fault in the system. The bounds of uncertainties and the threshold of the dynamic system can be formulated by solving linear matrix inequality. Simulations are given to precisely state the effectiveness and feasibility of the fault tolerant tracking controller and algorithms.
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