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<bibitem type="J">   <ARLID>0457337</ARLID> <utime>20240103212008.7</utime><mtime>20160316235959.9</mtime>   <SCOPUS>85014589668</SCOPUS> <WOS>000396232000002</WOS>  <DOI>10.1109/TSMC.2015.2502427</DOI>           <title language="eng" primary="1">Scalable Harmonization of Complex Networks With Local Adaptive Controllers</title>  <specification> <page_count>11 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0430806</ARLID><ISSN>2168-2216</ISSN><title>IEEE Transactions on Systems Man Cybernetics-Systems  </title><part_num/><part_title/><volume_id>47</volume_id><volume>3 (2017)</volume><page_num>394-404</page_num><publisher><place/><name>Institute of Electrical and Electronics Engineers</name><year/></publisher></serial>    <keyword>Adaptive control</keyword>   <keyword>Adaptive estimation</keyword>   <keyword>Bayes methods</keyword>   <keyword>Complex networks</keyword>   <keyword>Decentralized control</keyword>   <keyword>Feedback</keyword>   <keyword>Feedforward systems</keyword>   <keyword>Recursive estimation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101124</ARLID> <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> <full_dept>Department of Adaptive Systems</full_dept>  <share>70</share> <name1>Kárný</name1> <name2>Miroslav</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0329444</ARLID>  <share>30</share> <name1>Herzallah</name1> <name2>R.</name2> <country>GB</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2016/AS/karny-0457337.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0292725</ARLID> <project_id>GA13-13502S</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by  enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results.</abstract>     <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2018</reportyear>      <num_of_auth>2</num_of_auth>  <unknown tag="mrcbC52"> 4 A hod 4ah 20231122141555.1 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0258400</permalink>  <unknown tag="mrcbC64"> 1 Department of Adaptive Systems UTIA-B 10200 COMPUTER SCIENCE, CYBERNETICS </unknown>  <confidential>S</confidential>  <unknown tag="mrcbC86"> 2 Article Automation Control Systems|Computer Science Cybernetics  </unknown> <unknown tag="mrcbC86"> 2 Article Automation Control Systems|Computer Science Cybernetics  </unknown> <unknown tag="mrcbC86"> 2 Article Automation Control Systems|Computer Science Cybernetics  </unknown>         <unknown tag="mrcbT16-e">COMPUTERSCIENCE.CYBERNETICS|AUTOMATION&amp;CONTROLSYSTEMS</unknown> <unknown tag="mrcbT16-f">4.315</unknown> <unknown tag="mrcbT16-g">2.604</unknown> <unknown tag="mrcbT16-h">5.3</unknown> <unknown tag="mrcbT16-i">0.00958</unknown> <unknown tag="mrcbT16-j">1.073</unknown> <unknown tag="mrcbT16-k">6581</unknown> <unknown tag="mrcbT16-s">1.303</unknown> <unknown tag="mrcbT16-5">3.715</unknown> <unknown tag="mrcbT16-6">280</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-B">62.96</unknown> <unknown tag="mrcbT16-C">92.9</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q1</unknown> <unknown tag="mrcbT16-M">1.58</unknown> <unknown tag="mrcbT16-N">Q1</unknown> <unknown tag="mrcbT16-P">93.182</unknown> <arlyear>2017</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: karny-0457337.pdf </unknown>    <unknown tag="mrcbU14"> 85014589668 SCOPUS </unknown> <unknown tag="mrcbU34"> 000396232000002 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0430806 IEEE Transactions on Systems Man Cybernetics-Systems 2168-2216 2168-2232 Roč. 47 č. 3 2017 394 404 Institute of Electrical and Electronics Engineers </unknown> </cas_special> </bibitem>