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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
Abstract:

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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