Acta Chimica Slovaca (ACS) publishes papers on fundamental and applied aspects of chemistry, biochemistry, chemical technology, chemical engineering and process control, biotechnology and food technology. Welcome are also topics which include chemical aspects of materials, physical chemistry and chemical physics, analytical chemistry, macromolecular chemistry and biomedical engineering.

Design of Intelligent Controllers for Biotechnological Process

Alojz Mészáros, Juraj Vöröš *

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

E-mail: *

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