@inproceedings{03d76f6ee9314cbe93dc91f18e26c041,
title = "Computational soft sensor for fungal biofiltration process",
abstract = "Based on the data for the experimental measurements of the state on the fungal biofilter some process variables: the CO2concentration and the elimination capacity (CE) have been estimated using a differential neural observer scheme via the pressure difference data. This scheme is developed in two parts, the first is the dynamical neural network structure and the second is compound by the observer structure, this type of computational sensor is called soft sensor. The good performance for the estimate states is shown by the CE and CO2dynamical evolutions versus their estimate states on graphical way.",
keywords = "Biofiltration, Dynamical neural networks, Estimation, Neuro-observer",
author = "Cabrera, {A. I.} and Chairez, {J. I.} and Ram{\'i}rez, {M. G.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2007 IFAC.; 10th IFAC Symposium on Computer Applications in Biotechnology, 2007 ; Conference date: 04-06-2007 Through 06-06-2007",
year = "2007",
doi = "10.3182/20070604-3-mx-2914.00068",
language = "Ingl{\'e}s",
isbn = "9783902661616",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "4",
pages = "399--404",
editor = "Michel Perrier and Moreno, {Jaime A.}",
booktitle = "10th IFAC Symposium on Computer Applications in Biotechnology 2007",
address = "Austria",
edition = "4",
}