Design of Intelligent Controllers for Biotechnological Process
Institute of Information Engineering, Automation and Mathematics, Faculty of Chemical and Food Technology Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 812 37 Bratislava, Slovakia
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Abstract: This paper deals with intelligent controller design using artificial neural networks (ANN) in the role of feedback controllers. Neural controllers are built up and trained as inverse neural process models. Their performance and robustness are, gradually, improved and augmented by introducing, first, an adaptive simple integrator and, then, a controller with fuzzy integrator part. The proposed ANN control system performance is demonstrated a non-linear continuous biochemical process model with simulated uncertainties. MATLAB programme package environment has been used to build up and train the ANN feedback controllers.
Keywords: biochemical process, intelligent control, neural networks
Full paper in Portable Document Format: acs_0019.pdf
Acta Chimica Slovaca, Vol. 1, No. 1, 2008, pp. 208—220