Preferences based Control Design of Complex Fed-batch Cultivation Process
In the paper is presented preferences based control design and stabilization of the growth rate of fed-batch cultivation processes. The control is based on an enlarged Wang-Monod-Yerusalimsky kinetic model. Expected utility theory is one of the approaches for utilization of conceptual information (e...
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Format: | Article |
Language: | English |
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Academic Publishing House
2009-08-01
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Series: | Bioautomation |
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Online Access: | http://www.clbme.bas.bg/bioautomation/2009/vol_13.2/files/13.2_3.2.pdf |
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author | Yuri Pavlov Yuri Pavlov |
author_facet | Yuri Pavlov Yuri Pavlov |
author_sort | Yuri Pavlov |
collection | DOAJ |
description | In the paper is presented preferences based control design and stabilization of the growth rate of fed-batch cultivation processes. The control is based on an enlarged Wang-Monod-Yerusalimsky kinetic model. Expected utility theory is one of the approaches for utilization of conceptual information (expert preferences). In the article is discussed utilization of stochastic machine learning procedures for evaluation of expert utilities as criteria for optimization. |
first_indexed | 2024-04-13T01:36:29Z |
format | Article |
id | doaj.art-7d162d2a3f87451b9bb5f618b1802006 |
institution | Directory Open Access Journal |
issn | 1313-261X 1312-451X |
language | English |
last_indexed | 2024-04-13T01:36:29Z |
publishDate | 2009-08-01 |
publisher | Academic Publishing House |
record_format | Article |
series | Bioautomation |
spelling | doaj.art-7d162d2a3f87451b9bb5f618b18020062022-12-22T03:08:21ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2009-08-011326172Preferences based Control Design of Complex Fed-batch Cultivation ProcessYuri PavlovYuri PavlovIn the paper is presented preferences based control design and stabilization of the growth rate of fed-batch cultivation processes. The control is based on an enlarged Wang-Monod-Yerusalimsky kinetic model. Expected utility theory is one of the approaches for utilization of conceptual information (expert preferences). In the article is discussed utilization of stochastic machine learning procedures for evaluation of expert utilities as criteria for optimization.http://www.clbme.bas.bg/bioautomation/2009/vol_13.2/files/13.2_3.2.pdf PreferencesUtility functionFed-batchYerusalimsky kineticBrunovsky normal formOptimal control |
spellingShingle | Yuri Pavlov Yuri Pavlov Preferences based Control Design of Complex Fed-batch Cultivation Process Bioautomation Preferences Utility function Fed-batch Yerusalimsky kinetic Brunovsky normal form Optimal control |
title | Preferences based Control Design of Complex Fed-batch Cultivation Process |
title_full | Preferences based Control Design of Complex Fed-batch Cultivation Process |
title_fullStr | Preferences based Control Design of Complex Fed-batch Cultivation Process |
title_full_unstemmed | Preferences based Control Design of Complex Fed-batch Cultivation Process |
title_short | Preferences based Control Design of Complex Fed-batch Cultivation Process |
title_sort | preferences based control design of complex fed batch cultivation process |
topic | Preferences Utility function Fed-batch Yerusalimsky kinetic Brunovsky normal form Optimal control |
url | http://www.clbme.bas.bg/bioautomation/2009/vol_13.2/files/13.2_3.2.pdf |
work_keys_str_mv | AT yuripavlov preferencesbasedcontroldesignofcomplexfedbatchcultivationprocess AT yuripavlov preferencesbasedcontroldesignofcomplexfedbatchcultivationprocess |