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BioX⁺⁺-Extended Learning Control of Biotechnological Processes

Bettenhausen, Kurt Dirk ; Tolle, Henning (2023)
BioX⁺⁺-Extended Learning Control of Biotechnological Processes.
In: IFAC Proceedings Volumes, 1993, 26 (2)
doi: 10.26083/tuprints-00023369
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: BioX⁺⁺-Extended Learning Control of Biotechnological Processes
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 1993
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 26
Issue Number: 2
DOI: 10.26083/tuprints-00023369
Corresponding Links:
Origin: Secondary publication service
Abstract:

The technical use of biological or biochemical processes requires additionally to the biological preparation and process engineering an intelligent automatic control engineering whose performance characteristics excel the classical approaches. Most fermentations are operated in a phase-building batch mode, which does not allow a linearization of the not or only inexact known process model and the operation near one or several different working points. With BioX⁺⁺ an intelligent control system was successfully designed, whose fundamentals and extensions will be the contents of the article at hand.

Uncontrolled Keywords: Biotechnology, batch fermentations, learning systems, associative memories, expert systems, fuzzy systems
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233696
Additional Information:

Zugl. Konferenzveröffentlichung: 12th Triennial World Congress of the International Federation of Automatic Control, 18.-23.07.1993, Sydney, Australia

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: 14 Mar 2023 10:45
Last Modified: 13 Jul 2023 15:39
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23369
PPN: 509626106
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