This paper is devoted to the fuzzy fault-tolerant tracking control of Markov jump systems with unknown mismatched faults. To reconstruct the faults and the system states, a sequence of proportional-integral observers are established via the system outputs. With the help of a structure separation technique, the proportional-integral gains and the observer gains are solved by a unified linear matrix inequality framework. Resorting to the rebuilt faults and states from an iterative estimation algorithm, a backstepping based fuzzy fault-tolerant tracking control scheme against the mismatched faults is established to make the resultant closed-loop system be uniform ultimate boundedness. Simulations are provided to verify the effectiveness of the proposed methods.
The dynamic part is failure-prone and sensitive areas in aerospace system. Based on structural stratum analysis of aerospace dynamic system, this paper analysis the traversal algorithm for tree structure using analytic hierarchy process.The fault diagnosis algorithm called GZSS -1 is put forward.Then the algorithm called GGZSS -1 is put forward based on study and ameliorate the GZSS -1. Actual application proved that using this algorithm can greatly save time and labor. Furthermore,it can improve the efficiency of fault diagnosis.According to preliminary statistics,it can save time more than 70 percent compared to traditional manual investigation. And this method only require one or two people.At the same time, the more diagnostic components, the more time is saved. The time-saving rate is stable at around 70 percent.
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