Nonlinear and Neural Networks Based Adaptive Control for a Wastewater Treatment Bioprocess

Authors:
Emil Petre;Dan Selişteanu;Dorin Şendrescu;Cosmin Ionete
Affiliations:
Department of Automatic Control, University of Craiova, Craiova, Romania;Department of Automatic Control, University of Craiova, Craiova, Romania;Department of Automatic Control, University of Craiova, Craiova, Romania;Department of Automatic Control, University of Craiova, Craiova, Romania
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Year:
2008

Citing 3
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Abstract

The paper studies the design and analysis of some nonlinear and neural adaptive control strategies for a wastewater treatment process, which is an activated sludge process with nonlinear, time varying and not exactly known kinetics. In fact, an adaptive controller based on a dynamical neural network used as a model of the unknown plant is developed and then is compared with a classical linearizing controller. The neural controller design is achieved by using an input-output feedback linearization technique.