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Optimal control of biotechnological processes described by fuzzy sets

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>1993
<mark>Journal</mark>Journal of Process Control
Number of pages6
<mark>Original language</mark>English


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

Bibliographic note

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