Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances

Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances

The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043 ], this work aims to improve the control system response against parametric unce...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Industrial & engineering chemistry research 2018-08, Vol.57 (32), p.11130-11140
Hauptverfasser: Pantano, María N, Fernández, María C, Serrano, Mario E, Ortiz, Oscar A, Scaglia, Gustavo J. E
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 11140
container_issue 32
container_start_page 11130
container_title Industrial & engineering chemistry research
container_volume 57
creator Pantano, María N
Fernández, María C
Serrano, Mario E
Ortiz, Oscar A
Scaglia, Gustavo J. E
description The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043 ], this work aims to improve the control system response against parametric uncertainty and process disturbances. The methodology is simple and easy to implement, but with excellent results. The design parameters are optimized by a randomized Monte Carlo algorithm. Besides, demonstration of the tracking error convergence to zero when the system is subjected to uncertainties is included in the article. The control system performance is tested through simulations, showing the improvement achieved.
doi_str_mv 10.1021/acs.iecr.8b01791
format Article
fullrecord <record><control><sourceid>acs_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1021_acs_iecr_8b01791</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>d017805940</sourcerecordid><originalsourceid>FETCH-LOGICAL-a359t-16261df780e427294d564d4baaf6908471dbc0cdf5ae1d758cdc4226644cc9d23</originalsourceid><addsrcrecordid>eNp1kL1OwzAUhS0EEqWwM_oBSLFdO3FGWiggVbRDO0c3tgMuqV1dp0MXnp2UdmW6w_nRuR8h95yNOBP8EUwaeWdwpGvGi5JfkAFXgmWKSXVJBkxrnSmt1TW5SWnDGFNKygH5WSGYbx8-6TSGDmNLY0MXu85voaVLjI1vXaI-UKAfMbQ-OEA6czabQGe-6MTHHUbjUqL7YB3SJSBsXYfe0HUwDjvwoTtQCPbY9md89qnbYw29nG7JVQNtcnfnOyTr2ctq-pbNF6_v06d5BmNVdhnPRc5tU2jmpChEKa3KpZU1QJOXTMuC29owYxsFjttCaWONFCLPpTSmtGI8JOzUazCmhK6pdti_iIeKs-rIr-r5VUd-1ZlfH3k4RY7KJu4x9AP_t_8CbCx2lA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances</title><source>American Chemical Society Journals</source><creator>Pantano, María N ; Fernández, María C ; Serrano, Mario E ; Ortiz, Oscar A ; Scaglia, Gustavo J. E</creator><creatorcontrib>Pantano, María N ; Fernández, María C ; Serrano, Mario E ; Ortiz, Oscar A ; Scaglia, Gustavo J. E</creatorcontrib><description>The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043 ], this work aims to improve the control system response against parametric uncertainty and process disturbances. The methodology is simple and easy to implement, but with excellent results. The design parameters are optimized by a randomized Monte Carlo algorithm. Besides, demonstration of the tracking error convergence to zero when the system is subjected to uncertainties is included in the article. The control system performance is tested through simulations, showing the improvement achieved.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/acs.iecr.8b01791</identifier><language>eng</language><publisher>American Chemical Society</publisher><ispartof>Industrial &amp; engineering chemistry research, 2018-08, Vol.57 (32), p.11130-11140</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a359t-16261df780e427294d564d4baaf6908471dbc0cdf5ae1d758cdc4226644cc9d23</citedby><cites>FETCH-LOGICAL-a359t-16261df780e427294d564d4baaf6908471dbc0cdf5ae1d758cdc4226644cc9d23</cites><orcidid>0000-0003-2549-6535</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b01791$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.iecr.8b01791$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids></links><search><creatorcontrib>Pantano, María N</creatorcontrib><creatorcontrib>Fernández, María C</creatorcontrib><creatorcontrib>Serrano, Mario E</creatorcontrib><creatorcontrib>Ortiz, Oscar A</creatorcontrib><creatorcontrib>Scaglia, Gustavo J. E</creatorcontrib><title>Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances</title><title>Industrial &amp; engineering chemistry research</title><addtitle>Ind. Eng. Chem. Res</addtitle><description>The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043 ], this work aims to improve the control system response against parametric uncertainty and process disturbances. The methodology is simple and easy to implement, but with excellent results. The design parameters are optimized by a randomized Monte Carlo algorithm. Besides, demonstration of the tracking error convergence to zero when the system is subjected to uncertainties is included in the article. The control system performance is tested through simulations, showing the improvement achieved.</description><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kL1OwzAUhS0EEqWwM_oBSLFdO3FGWiggVbRDO0c3tgMuqV1dp0MXnp2UdmW6w_nRuR8h95yNOBP8EUwaeWdwpGvGi5JfkAFXgmWKSXVJBkxrnSmt1TW5SWnDGFNKygH5WSGYbx8-6TSGDmNLY0MXu85voaVLjI1vXaI-UKAfMbQ-OEA6czabQGe-6MTHHUbjUqL7YB3SJSBsXYfe0HUwDjvwoTtQCPbY9md89qnbYw29nG7JVQNtcnfnOyTr2ctq-pbNF6_v06d5BmNVdhnPRc5tU2jmpChEKa3KpZU1QJOXTMuC29owYxsFjttCaWONFCLPpTSmtGI8JOzUazCmhK6pdti_iIeKs-rIr-r5VUd-1ZlfH3k4RY7KJu4x9AP_t_8CbCx2lA</recordid><startdate>20180815</startdate><enddate>20180815</enddate><creator>Pantano, María N</creator><creator>Fernández, María C</creator><creator>Serrano, Mario E</creator><creator>Ortiz, Oscar A</creator><creator>Scaglia, Gustavo J. E</creator><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-2549-6535</orcidid></search><sort><creationdate>20180815</creationdate><title>Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances</title><author>Pantano, María N ; Fernández, María C ; Serrano, Mario E ; Ortiz, Oscar A ; Scaglia, Gustavo J. E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a359t-16261df780e427294d564d4baaf6908471dbc0cdf5ae1d758cdc4226644cc9d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pantano, María N</creatorcontrib><creatorcontrib>Fernández, María C</creatorcontrib><creatorcontrib>Serrano, Mario E</creatorcontrib><creatorcontrib>Ortiz, Oscar A</creatorcontrib><creatorcontrib>Scaglia, Gustavo J. E</creatorcontrib><collection>CrossRef</collection><jtitle>Industrial &amp; engineering chemistry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pantano, María N</au><au>Fernández, María C</au><au>Serrano, Mario E</au><au>Ortiz, Oscar A</au><au>Scaglia, Gustavo J. E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances</atitle><jtitle>Industrial &amp; engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>2018-08-15</date><risdate>2018</risdate><volume>57</volume><issue>32</issue><spage>11130</spage><epage>11140</epage><pages>11130-11140</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><abstract>The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043 ], this work aims to improve the control system response against parametric uncertainty and process disturbances. The methodology is simple and easy to implement, but with excellent results. The design parameters are optimized by a randomized Monte Carlo algorithm. Besides, demonstration of the tracking error convergence to zero when the system is subjected to uncertainties is included in the article. The control system performance is tested through simulations, showing the improvement achieved.</abstract><pub>American Chemical Society</pub><doi>10.1021/acs.iecr.8b01791</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2549-6535</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0888-5885
ispartof Industrial & engineering chemistry research, 2018-08, Vol.57 (32), p.11130-11140
issn 0888-5885
1520-5045
language eng
recordid cdi_crossref_primary_10_1021_acs_iecr_8b01791
source American Chemical Society Journals
title Tracking Control of Optimal Profiles in a Nonlinear Fed-Batch Bioprocess under Parametric Uncertainty and Process Disturbances
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T01%3A32%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acs_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tracking%20Control%20of%20Optimal%20Profiles%20in%20a%20Nonlinear%20Fed-Batch%20Bioprocess%20under%20Parametric%20Uncertainty%20and%20Process%20Disturbances&rft.jtitle=Industrial%20&%20engineering%20chemistry%20research&rft.au=Pantano,%20Mari%CC%81a%20N&rft.date=2018-08-15&rft.volume=57&rft.issue=32&rft.spage=11130&rft.epage=11140&rft.pages=11130-11140&rft.issn=0888-5885&rft.eissn=1520-5045&rft_id=info:doi/10.1021/acs.iecr.8b01791&rft_dat=%3Cacs_cross%3Ed017805940%3C/acs_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true