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Methods for a Transparent Development and Optimization of Biotechnological Processes

Marenbach, Peter ; Bettenhausen, Kurt Dirk ; Tolle, Henning (2023)
Methods for a Transparent Development and Optimization of Biotechnological Processes.
In: IFAC Proceedings Volumes, 1996, 29 (1)
doi: 10.26083/tuprints-00023336
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Methods for a Transparent Development and Optimization of Biotechnological Processes
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 1996
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 29
Issue Number: 1
DOI: 10.26083/tuprints-00023336
Corresponding Links:
Origin: Secondary publication service

The article at hand describes an integrating system for the intelligent control of complex bio technological processes including automatic modelling and model based control strategy generation. Starting with a summary of previously achieved results, some new approaches that provide better transparency to process engineers and operators are discussed. This includes aspects of self-organizing generation of structured dynamic nonlinear process models based upon the ideas of genetic programming as well as the transparent generation of fuzzy rules in a particular NeuroFuzzy approach. The latter is used for the classification of physiological states during batch and fed-batch fermentations and for the long time strategy generation to optimize the achievable product yield.

Uncontrolled Keywords: Biotechnology, Process control, Fuzzy systems, Learning control, Genetic algorithms
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233360
Additional Information:

Zugl. Konferenzveröffentlichung: 13th World Congress of IFAC, 30.06.-05.07.1996, San Francisco, USA

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 08 Mar 2023 14:12
Last Modified: 10 Aug 2023 12:50
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23336
PPN: 508131006
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