@conference {Campestrini:Eckhard:Konrad:Bazanella:2012,
	title = {Identifica{\c c}{\~a}o n{\~a}o-linear de um biorreator atrav{\'e}s da minimiza{\c c}{\~a}o do erro de predi{\c c}{\~a}o},
	booktitle = {XIX Congresso Brasileiro de Autom{\'a}tica},
	year = {2012},
	note = {n/a},
	pages = {3066{\textendash}3072},
	publisher = {SBA},
	organization = {SBA},
	address = {Campina Grande},
	abstract = {<p>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.</p>
},
	author = {L. Campestrini and D. Eckhard and O. Konrad and A. S. Bazanella}
}
