Intelligent optimal control of biotechnological processes.

Angelov, Plamen (1996) Intelligent optimal control of biotechnological processes. In: 4th European Congress on Intelligent Techniques and Soft Computing, 1996-09-021996-09-05.

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Abstract

The aim of the paper is to present an approach to optimal control of biotechnological processes, described by fuzzy sets which is based on genetic algorithms (GA). It allows more adequate, flexible and intelligent (human oriented) description of bioprocess dynamic and inclusion of this information in an effective and robust optimization procedure. Related algorithms and software are designed and tested with data from the real biotechnological process of -d-glucose-O2-oxidase-1 synthesis. The proposed approach and algorithms are applicable to other bioprocesses.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
4th European Congress on Intelligent Techniques and Soft Computing
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
27126
Deposited By:
Deposited On:
01 Oct 2009 10:04
Refereed?:
Yes
Published?:
Published
Last Modified:
24 May 2020 08:30