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Q-learning-based controller for fed-batch yeast fermentation

Industrial fed-batch yeast fermentation process is a typical nonlinear dynamic process that requires good control technique and monitoring to optimize the yeast production. This chapter explores the applicability of Q-learning in determining the feed flow rate in a fed-batch yeast fermentation proce...

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Main Authors: Chuo, Helen Sin Ee, Tan, Min Keng, Tham, Heng Jin, Teo, Kenneth Tze Kin
Format: Book Chapter
Language:English
Published: Springer US 2013
Subjects:
TP Chemical technology
Online Access:https://eprints.ums.edu.my/id/eprint/20354/1/Q.pdf
https://eprints.ums.edu.my/id/eprint/20354/
https://dx.doi.org/10.1007/978-1-4614-6208-8_28
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spelling my.ums.eprints.203542018-06-27T01:23:20Z https://eprints.ums.edu.my/id/eprint/20354/ Q-learning-based controller for fed-batch yeast fermentation Chuo, Helen Sin Ee Tan, Min Keng Tham, Heng Jin Teo, Kenneth Tze Kin TP Chemical technology Industrial fed-batch yeast fermentation process is a typical nonlinear dynamic process that requires good control technique and monitoring to optimize the yeast production. This chapter explores the applicability of Q-learning in determining the feed flow rate in a fed-batch yeast fermentation process to achieve multiobjectives optimization. However, to develop such control system, the complex nature of the yeast metabolism that will affect the system stability has to be considered. Q-learning is well known for its interactive properties with the process environment and is suitable for the learning of system dynamic. Therefore, the utilization and performance of Q-learning to seek for the optimal gain for the controller is studied in this chapter. Meanwhile, the performance of Q-learning under the process disturbance is also tested. © Springer Science+Business Media New York 2013. Springer US 2013 Book Chapter NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/20354/1/Q.pdf Chuo, Helen Sin Ee and Tan, Min Keng and Tham, Heng Jin and Teo, Kenneth Tze Kin (2013) Q-learning-based controller for fed-batch yeast fermentation. Developments in Sustainable Chemical and Bioprocess Technology. pp. 219-225. ISSN 978-1-4614-6207-1 https://dx.doi.org/10.1007/978-1-4614-6208-8_28
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Chuo, Helen Sin Ee
Tan, Min Keng
Tham, Heng Jin
Teo, Kenneth Tze Kin
Q-learning-based controller for fed-batch yeast fermentation
description Industrial fed-batch yeast fermentation process is a typical nonlinear dynamic process that requires good control technique and monitoring to optimize the yeast production. This chapter explores the applicability of Q-learning in determining the feed flow rate in a fed-batch yeast fermentation process to achieve multiobjectives optimization. However, to develop such control system, the complex nature of the yeast metabolism that will affect the system stability has to be considered. Q-learning is well known for its interactive properties with the process environment and is suitable for the learning of system dynamic. Therefore, the utilization and performance of Q-learning to seek for the optimal gain for the controller is studied in this chapter. Meanwhile, the performance of Q-learning under the process disturbance is also tested. © Springer Science+Business Media New York 2013.
format Book Chapter
author Chuo, Helen Sin Ee
Tan, Min Keng
Tham, Heng Jin
Teo, Kenneth Tze Kin
author_facet Chuo, Helen Sin Ee
Tan, Min Keng
Tham, Heng Jin
Teo, Kenneth Tze Kin
author_sort Chuo, Helen Sin Ee
title Q-learning-based controller for fed-batch yeast fermentation
title_short Q-learning-based controller for fed-batch yeast fermentation
title_full Q-learning-based controller for fed-batch yeast fermentation
title_fullStr Q-learning-based controller for fed-batch yeast fermentation
title_full_unstemmed Q-learning-based controller for fed-batch yeast fermentation
title_sort q-learning-based controller for fed-batch yeast fermentation
publisher Springer US
publishDate 2013
url https://eprints.ums.edu.my/id/eprint/20354/1/Q.pdf
https://eprints.ums.edu.my/id/eprint/20354/
https://dx.doi.org/10.1007/978-1-4614-6208-8_28
_version_ 1760229703764934656
score 13.154949

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