Neural daylight control system - Computer Science > Neural and Evolutionary ComputingReport as inadecuate




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Abstract: The paper describes the design, the implementation of a neural controllerused in an automatic daylight control system. The automatic lighting controlsystem ALCS attempt to maintain constant the illuminance at the desired levelon working plane even if the daylight contribution is variable. Therefore, thedaylight will represent the perturbation signal for the ALCS. The mathematicalmodel of process is unknown. The applied structure of control need the inversemodel of process. For this purpose it was used other artificial neural networkANN which identify the inverse model of process in an on-line manner. Infact, this ANN identify the inverse model of process + the perturbation signal.In this way the learning signal for neural controller has a better accuracy forthe present application.



Author: Horatiu Stefan Grif

Source: https://arxiv.org/



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