<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="C">   <ARLID>0345438</ARLID> <utime>20240103193650.1</utime><mtime>20100913235959.9</mtime>         <title language="eng" primary="1">On Adaptation of Loss Functions in Decentralized Adaptive Control</title>  <specification> <page_count>6 s.</page_count> <media_type>www</media_type> </specification>    <serial><ARLID>cav_un_epca*0345437</ARLID><title>Proceedings of the 12th IFAC symposium on Large Scale Systems</title><part_num/><part_title/><page_num>1-6</page_num><publisher><place>Villeneuve d'Ascq</place><name>IFAC</name><year>2010</year></publisher></serial>    <keyword>decentralized control</keyword>   <keyword>LQG control</keyword>   <keyword>fully probabilistic design</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</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/2010/AS/smidl-on adaptation of loss functions in decentralized adaptive control.pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <project> <project_id>GP102/08/P250</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0241640</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Decentralized adaptive agents/controller are able to operate in autonomous regimes, where they estimate model of their own neighborhood and design their control strategies with respect to their local aims. When each agent designs its strategy using only its model, the  resulting control will be suboptimal since local models do not allow prediction of consequences  of actions of the neighbors. Information about expected future trajectory as perceived by the neighbor can be obtained by means of communication. The task is to design a method of control strategy design that makes use of this information to improve the overall performance.  In this paper, we propose to use the predictor to modify the loss function of the receiving agent. Informal justiﬁcation of the approach is presented and it properties are illustrated in simulation experiments with decentralized LQG control.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0262638</ARLID> <name>12th LSS symposium, Large Scale Systems: Theory and Applications</name> <place>Villeneuve d'Ascq</place> <dates>12.07.2010-14.07.2010</dates>  <country>FR</country> </action>   <reportyear>2011</reportyear>  <RIV>BC</RIV>      <permalink>http://hdl.handle.net/11104/0186712</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0345437 Proceedings of the 12th IFAC symposium on Large Scale Systems 1 6 Villeneuve d'Ascq IFAC 2010 </unknown> </cas_special> </bibitem>