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<bibitem type="J">   <ARLID>0410558</ARLID> <utime>20240103182222.4</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Control of linear systems subject to input constraints: a polynomial approach</title>  <specification> <page_count>8 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0256218</ARLID><ISSN>0005-1098</ISSN><title>Automatica</title><part_num/><part_title/><volume_id>37</volume_id><volume>4 (2001)</volume><page_num>597-604</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>linear systems</keyword>   <keyword>input constraints</keyword>   <keyword>polynomial methods</keyword>    <author primary="1"> <ARLID>cav_un_auth*0015534</ARLID> <name1>Henrion</name1> <name2>D.</name2> <country>FR</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0021093</ARLID> <name1>Tarbouriech</name1> <name2>S.</name2> <country>FR</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101144</ARLID> <name1>Kučera</name1> <name2>Vladimír</name2> <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>     <COSATI>09I</COSATI>    <cas_special> <project> <project_id>97/005-97/026</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0212751</ARLID> </project> <project> <project_id>GA102/99/1368</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004439</ARLID> </project> <project> <project_id>VS97034</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0025111</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">A polynomial approach is pursued for locally stabilizing discrete-time linear systems subject to input constraints. Using the Youla-Kučera parametrization and geometric properties of polyhedra and ellipsoids, the problem of simultaneously deriving a stabilizing controller and the corresponding stability region is cast into standard convex optimization problems solved by linear, second-order cone and semidefinite programming.</abstract>      <RIV>BC</RIV>      <department>TŘ</department>   <permalink>http://hdl.handle.net/11104/0130647</permalink>   <ID_orig>UTIA-B 20010027</ID_orig>       <arlyear>2001</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0256218 Automatica 0005-1098 1873-2836 Roč. 37 č. 4 2001 597 604 Elsevier </unknown> </cas_special> </bibitem>