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<bibitem type="C">   <ARLID>0410568</ARLID> <utime>20240103182223.1</utime><mtime>20060210235959.9</mtime>    <ISBN>3-211-83651-9</ISBN>         <title language="eng" primary="1">On structure of local models for hybrid controllers</title>  <publisher> <place>Wien</place> <name>Springer</name> <pub_time>2001</pub_time> </publisher> <specification> <page_count>5 s.</page_count> </specification>   <serial><title>Artificial Neural Nets and Genetic Algorithms. Proceedings</title><part_num/><part_title/><page_num>340-344</page_num><editor><name1>Kůrková</name1><name2>V.</name2></editor><editor><name1>Neruda</name1><name2>R.</name2></editor><editor><name1>Kárný</name1><name2>M.</name2></editor><editor><name1>Steele</name1><name2>N. C.</name2></editor></serial>    <keyword>signal filtering</keyword>   <keyword>hybrid modelling</keyword>   <keyword>Bayesian identification</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101092</ARLID> <name1>Guy</name1> <name2>Tatiana Valentine</name2> <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> <author primary="0"> <ARLID>cav_un_auth*0101124</ARLID> <name1>Kárný</name1> <name2>Miroslav</name2> <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>     <COSATI>09I</COSATI> <COSATI>09J</COSATI>    <cas_special> <project> <project_id>1999/12058</project_id> <agency>IST</agency> <country>XE</country> </project> <project> <project_id>GA102/00/P045</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004058</ARLID> </project> <project> <project_id>GA102/99/1292</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004437</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">A set of models for high-rate filtering of controlled system signals is specified. Its description is tailored to Bayesian structure estimation having a great potential in the areas relying on multiple local modelling.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0212760</ARLID> <name>International Conference on Artificial Neural Nets and Genetic Algorithms /5./</name> <place>Prague</place> <country>CZ</country> <dates>22.04.2001-25.04.2001</dates>  </action>     <RIV>BC</RIV>   <department>AS</department>    <permalink>http://hdl.handle.net/11104/0130657</permalink>   <ID_orig>UTIA-B 20010037</ID_orig>     <arlyear>2001</arlyear>       <unknown tag="mrcbU10"> 2001 </unknown> <unknown tag="mrcbU10"> Wien Springer </unknown> <unknown tag="mrcbU12"> 3-211-83651-9 </unknown> <unknown tag="mrcbU63"> Artificial Neural Nets and Genetic Algorithms. Proceedings 340 344 </unknown> <unknown tag="mrcbU67"> Kůrková V. 340 </unknown> <unknown tag="mrcbU67"> Neruda R. 340 </unknown> <unknown tag="mrcbU67"> Kárný M. 340 </unknown> <unknown tag="mrcbU67"> Steele N. C. 340 </unknown> </cas_special> </bibitem>