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 |
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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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