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<bibitem type="K">   <ARLID>0343865</ARLID> <utime>20240111140740.6</utime><mtime>20100617235959.9</mtime>         <title language="eng" primary="1">Self Fine Tuning of LQ Control With Fixed Model</title>  <specification> <page_count>7 s.</page_count> <media_type>CD ROM</media_type> </specification>   <serial><ARLID>cav_un_epca*0343864</ARLID><ISBN>978-80-7399-951-3</ISBN><title>Proc. of the 9th Int. Conf. Process Control 2010</title><part_num/><part_title/><publisher><place>Pardubice</place><name>Czech Society of Industrial Chemistry, University of Pardubice</name><year>2010</year></publisher><editor><name1>Dušek</name1><name2>František</name2></editor></serial>    <keyword>LQ control</keyword>   <keyword>model-based control</keyword>   <keyword>control tuning</keyword>   <keyword>stochastic systems</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101064</ARLID> <name1>Belda</name1> <name2>Květoslav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/historie/belda-0343865.pdf</url> <source_size>374 kB</source_size> </source>        <cas_special> <project> <project_id>7D09008</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0261683</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Setup of suitable weight control parameters and their tuning with respect to topical controlled system behavior is a principal issue of every control design. This contribution  roposes the efficient way for setup and tuning of the control parameters of LQ controllers automatically by evaluation of a controlled system response in comparison with a mathematical model following from a physical substance of that system. The controlled systems are considered as stochastic, which corresponds to a stochastic nature of real-life applications. In this paper, there will be explained general assumptions and conditions for the implementation of the proposed way.  The theoretical results will be discussed and illustrated by several examples.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0262262</ARLID> <name>Process Control 2010</name> <place>Kouty nad Desnou</place> <dates>07.06.2010-10.06.2010</dates>  <country>CZ</country> </action>    <reportyear>2011</reportyear>  <RIV>BC</RIV>      <permalink>http://hdl.handle.net/11104/0186241</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU56"> 374 kB </unknown> <unknown tag="mrcbU63"> cav_un_epca*0343864 Proc. of the 9th Int. Conf. Process Control 2010 978-80-7399-951-3 C056a-1-C056a-7 Pardubice Czech Society of Industrial Chemistry, University of Pardubice 2010 </unknown> <unknown tag="mrcbU67"> Dušek František 340 </unknown> </cas_special> </bibitem>