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<bibitem type="C">   <ARLID>0394323</ARLID> <utime>20240111140832.7</utime><mtime>20130919235959.9</mtime>         <title language="eng" primary="1">Enhancement of Practical Applicability of Optimal Control of a Nonlinear Process</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0394322</ARLID><ISBN>978-1-4799-0176-0</ISBN><title>Proceedings of the Americal Control Conference  2013 (ACC)</title><part_num/><part_title/><page_num>5000-5005</page_num><publisher><place>Washington, DC</place><name>IEEE</name><year>2013</year></publisher></serial>    <keyword>process control</keyword>   <keyword>optimal control</keyword>   <keyword>bioprocess</keyword>    <author primary="1"> <ARLID>cav_un_auth*0281469</ARLID> <name1>Pčolka</name1> <name2>M.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101074</ARLID> <name1>Čelikovský</name1> <name2>Sergej</name2> <full_dept language="cz">Teorie řízení</full_dept> <full_dept>Department of Control Theory </full_dept> <department language="cz">TŘ</department> <department>TR</department> <institution>UTIA-B</institution> <full_dept>Department of Control Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>textový dokument</source_type> <source_size>1,64 MB</source_size> </source>        <cas_special> <project> <project_id>GA13-20433S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0292613</ARLID> </project>  <abstract language="eng" primary="1">This paper makes a step towards practical applicability of the optimal control for industrial penicillin production. Using the nonlinear gradient method as the key optimization tool, two ways of measurement feedback incorporation into the optimization procedure are proposed. Firstly, the receding horizon approach (whose linear variant is widely spreading in the field of operation of various industrial processes) is investigated considering different lengths of optimization horizon. Secondly, the shrinking horizon approach inspired by the character of the solved task with terminal criterion is examined. In order to make the latter comparable to the receding horizon  approach, various sampling periods of the input signal are considered. Utilization of the nonlinear continuous time model of the controlled process clearly distinguishes this paper from  the earlier publications.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0292540</ARLID> <name>The American Control Conference 2013 (ACC)</name> <place>Washington, DC</place> <dates>17.06.2013-19.06.2013</dates>  <country>US</country> </action>    <reportyear>2014</reportyear>  <RIV>BC</RIV>      <num_of_auth>2</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0223784</permalink>       <arlyear>2013</arlyear>       <unknown tag="mrcbU56"> textový dokument 1,64 MB </unknown> <unknown tag="mrcbU63"> cav_un_epca*0394322 Proceedings of the Americal Control Conference  2013 (ACC) 978-1-4799-0176-0 5000 5005 Washington, DC IEEE 2013 </unknown> </cas_special> </bibitem>