José A. Pittol, Yamitet Sánchez, Rosalba Lamanna, Silvana Revollar, and Pastora Vega
Virtual sensors, Wastewater treatment process, fuzzy models, sensor identification
In this work a virtual sensor based on fuzzy logic is designed to estimate the substrate concentration in the activated-sludge process output of a wastewater treatment plant. Input-output operation data produced by simulation are used for the identification of the virtual sensor parameters by means of a neuro-fuzzy network. Preliminary results show the convenience of introducing a series-parallel structure in the identification process.
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