Identificação não-linear de um biorreator através da minimização do erro de predição

Citation:
Campestrini, L, Eckhard D, Konrad O, Bazanella AS.  2012.  Identificação não-linear de um biorreator através da minimização do erro de predição. XIX Congresso Brasileiro de Automática. :3066–3072., Campina Grande: SBA

Abstract:

This work presents a non-linear identification of a bioreactor through the minimization of the prediction error, where the output data are the measurements of the methane gas generated by the process, during 37 days. Since the chosen model is non-linear, an iterative method is used to obtain the model parameters. This method depends on the cost function?s gradient, whose calculus is implemented recursively, since it does not have a closed form. The algorithm used in the minimization of the cost function is a combination of two methods: the gradient method and the Newton-Raphson method. The model obtained is validated with output data from the process and it reproduces the behavior of the bioreactor with good precision.

Notes:

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