Abstract
Intermediate estimator-based fault tolerant shape control (FTSC) is investigated by only using the measured outputs probability density functions (PDFs). To overcome the fault boundedness restriction and the observer matching limitation, the intermediate estimator is designed by introducing a new intermediate variable. In this framework, the unknown faults and weights can be simultaneously estimated. Based on the obtained fault information, FTSC is designed to compensate the fault and track the desirable PDFs. Finally, an example is verified to show the effectiveness of our proposed algorithm.
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