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<bibitem type="C">   <ARLID>0411223</ARLID> <utime>20240111140636.3</utime><mtime>20060210235959.9</mtime>    <ISBN>80-227-1902-1</ISBN>         <title language="eng" primary="1">Control of a simple non-linear system using probabilistic mixtures</title>  <publisher> <place>Bratislava</place> <name>Slovak University of Technology</name> <pub_time>2003</pub_time> </publisher> <specification> <media_type>CD-ROM</media_type> </specification>   <serial><title>Proceedings of the 14th International Conference on Process Control 2003</title><part_num/><part_title/><page_num>1-6</page_num><editor><name1>Mikleš</name1><name2>J.</name2></editor><editor><name1>Dvoran</name1><name2>J.</name2></editor><editor><name1>Fikar</name1><name2>M.</name2></editor></serial>    <keyword>probabilistic mixture</keyword>   <keyword>controller</keyword>   <keyword>fully probabilistic design</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101061</ARLID> <name1>Andrýsek</name1> <name2>Josef</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_size>186 kB</source_size> </source> <source> <url>http://library.utia.cas.cz/prace/20030210.pdf</url> </source>     <COSATI>12B</COSATI>    <cas_special> <project> <project_id>GA102/03/0049</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0001805</ARLID> </project> <project> <project_id>IBS1075351</project_id> <agency>GA AV ČR</agency> <ARLID>cav_un_auth*0001804</ARLID> </project> <project> <project_id>IBS1075102</project_id> <agency>GA AV ČR</agency> <ARLID>cav_un_auth*0014060</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The paper shows application of a new mixture-based approach to control on a simple non-linear system. The general algorithm can be described in 3 steps. First the probabilistic mixture model must be obtained from the process data. Second, the desired values on the system must be convert to the form of probabilistic density function (pdf). Then the approximation of fully probabilistic design is performed, which results into the pdf describing the control variables.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0213024</ARLID> <name>International Conference on Process Control 2003 /14./</name> <place>Štrbské pleso</place> <country>SK</country> <dates>08.06.2003-11.06.2003</dates>  </action>     <RIV>BB</RIV>   <department>AS</department>    <permalink>http://hdl.handle.net/11104/0131309</permalink>   <ID_orig>UTIA-B 20030210</ID_orig>     <arlyear>2003</arlyear>       <unknown tag="mrcbU10"> 2003 </unknown> <unknown tag="mrcbU10"> Bratislava Slovak University of Technology </unknown> <unknown tag="mrcbU12"> 80-227-1902-1 </unknown> <unknown tag="mrcbU56"> 186 kB </unknown> <unknown tag="mrcbU63"> Proceedings of the 14th International Conference on Process Control 2003 1 6 </unknown> <unknown tag="mrcbU67"> Mikleš J. 340 </unknown> <unknown tag="mrcbU67"> Dvoran J. 340 </unknown> <unknown tag="mrcbU67"> Fikar M. 340 </unknown> </cas_special> </bibitem>