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- W2340261036 abstract "In this work a comparison appears between a conventional control and an intelligent control, the controllers developed are a control PID and a control with neural networks for a thermal system, inside the project Didactic Control Module MODICO. In the first part of the article, the exposition of the mathematical model of the plant is showed, and the model by means of parametric identification of the temperature plant is realized with least mean square, these models are used for the controller's characterization. The identification is realized taken information of the plant by means of the card NI 6259 card and the LabVIEW interface. For the conventional control, a control PID is designed by means of the method root locus. The control neuronal was implemented with NARMAL2 neural networks; this net has four neurons, two in the secret layer, one in the layer of entry and one in the layer of exit. The network neuronal is trained with six different training algorithms, once the network trained, the best training method is selected and the system is validated with the control PID and the neural control." @default.
- W2340261036 created "2016-06-24" @default.
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- W2340261036 date "2009-01-01" @default.
- W2340261036 modified "2023-09-26" @default.
- W2340261036 title "neuronales Control of a no lineal temperature plant with neural networks" @default.
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