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

Full text not available from this repository.


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:
Journal 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:
ID Code:
Deposited By:
Deposited On:
09 Jan 2008 09:48
Last Modified:
01 Jan 2022 09:51