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Optimal control of biotechnological processes described by fuzzy sets

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Optimal control of biotechnological processes described by fuzzy sets. / Angelov, Plamen; Tzonkov, Stoyan.
In: Journal of Process Control, Vol. 3, No. 3, 1993, p. 147-152.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Angelov P, Tzonkov S. Optimal control of biotechnological processes described by fuzzy sets. Journal of Process Control. 1993;3(3):147-152. doi: 10.1016/0959-1524(93)80020-C

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Angelov, Plamen ; Tzonkov, Stoyan. / Optimal control of biotechnological processes described by fuzzy sets. In: Journal of Process Control. 1993 ; Vol. 3, No. 3. pp. 147-152.

Bibtex

@article{88e24cb988024317a9c05ae99f6a81d4,
title = "Optimal control of biotechnological processes described by fuzzy sets",
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",
keywords = "Add DCS-publications-id, art-561, Add DCS-publications-personnel-id, 82",
author = "Plamen Angelov and Stoyan Tzonkov",
note = "The final, definitive version of this article has been published in the Journal, Journal of Process Control 3 (3), 1993, {\textcopyright} ELSEVIER.",
year = "1993",
doi = "10.1016/0959-1524(93)80020-C",
language = "English",
volume = "3",
pages = "147--152",
journal = "Journal of Process Control",
issn = "0959-1524",
publisher = "Elsevier Limited",
number = "3",

}

RIS

TY - JOUR

T1 - Optimal control of biotechnological processes described by fuzzy sets

AU - Angelov, Plamen

AU - Tzonkov, Stoyan

N1 - The final, definitive version of this article has been published in the Journal, Journal of Process Control 3 (3), 1993, © ELSEVIER.

PY - 1993

Y1 - 1993

N2 - 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

AB - 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

KW - Add DCS-publications-id

KW - art-561

KW - Add DCS-publications-personnel-id

KW - 82

U2 - 10.1016/0959-1524(93)80020-C

DO - 10.1016/0959-1524(93)80020-C

M3 - Journal article

VL - 3

SP - 147

EP - 152

JO - Journal of Process Control

JF - Journal of Process Control

SN - 0959-1524

IS - 3

ER -