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Optimal control of biotechnological processes described by fuzzy sets

Angelov, Plamen and Tzonkov, Stoyan (1993) Optimal control of biotechnological processes described by fuzzy sets. Journal of Process Control, 3 (3). pp. 147-152. ISSN 0959-1524

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Abstract

Fuzzy set theory is applied to extend the optimal control problem for complex objects such as biotechnological processes. It allows inclusion of all possible and admissible process states in the problem formulation. A new approach for model representation with convenient fuzzy sets taking into account expert experience is proposed. Bellman-Zadeh's approach is applied to transform a fuzzy optimal control problem ot a deterministic one which is solved numerically. Optimal control of a real-life fermentation process is determined and a better solution is reached due to more realistic and flexible problem formulation. (c) Elsevier

Item Type: Article
Journal or Publication Title: Journal of Process Control
Additional Information: The final, definitive version of this article has been published in the Journal, Journal of Process Control 3 (3), 1993, © ELSEVIER.
Uncontrolled Keywords: Add DCS-publications-id ; art-561 ; Add DCS-publications-personnel-id ; 82
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 914
Deposited By: Dr. Plamen Angelov
Deposited On: 09 Jan 2008 09:48
Refereed?: Yes
Published?: Published
Last Modified: 21 Mar 2014 10:21
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/914

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