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• W2101039504 abstract "In this work it is presented a fault tolerant control application using neural networks-based compensation schemes. The design consists of supervising the process possible faults using an observer that allows determining the present fault and its direction and then it will be used a classification neural network which will activate the appropriate controller according to the identified fault type. The plant to be controlled was the Feedback Basic Process Rig 38-100, a completely self-contained pipes circuit which drives the water contained in the inferior tank to a smaller dimension and double compartment superior tank, by means of the motor pumping located in the inferior deposit. In this work it is controlled the superior tank water level." @default.
• W2101039504 created "2016-06-24" @default.
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• W2101039504 date "2007-10-13" @default.
• W2101039504 modified "2023-09-26" @default.
• W2101039504 title "Faults tolerant control application using neural networks" @default.
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