0506857 20240103222323.020190725235959.9 84950286457 000376668800143 10.1109/ITSC.2015.150 6 s. P cav_un_epca*0506856978-1-4673-6595-6894-899PiscatawayIEEE2015 intelligent systems multi agent systems traffic control distributed control convergence conditions cav_un_auth*0053544 45 Přikryl J. CZ K cav_un_auth*0235038 45 Novotný J. CZ cav_un_auth*0101207 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 10 Šmídl Václav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/AS/smidl-0506857.pdf Distributed control mechanisms have been studied in past decades in different application areas. Currently, multiagent systems are a popular topic also in ITS systems, where numerous approaches to distribution of system intelligence are being tested. One of the main problems in distributed control, however, remains the guarantee of reaching the global optimum-while most of the applications perform sufficiently well, there is no way to tell that they cannot perform even better, or that they may fail under certain operating conditions. Luckily, for certain control paradigms such guarantees may be given. In this paper we study two approaches to distributed control, namely distributed LQ control and distributed non-lonear control using COBYLA algorithm, and apply them to urban traffic control scenario. We show that the convergence conditions are met and results achieved with distributed control converge to those of centralised control mechanisms. cav_un_auth*0377557 IEEE International Conference on Intelligent Transportation Systems 2015 /18./ 20150915 20150918 Las Canteras ES BC 10000 10200 10201 2020 3 PR RVO:67985556 http://hdl.handle.net/11104/0298017 cav_un_auth*0377558 ČVUT v Praze, Fakulta dopravní ČVUT FD CZ cav_un_auth*0377559 ČVUT v Praze, Fakulta jaderného a fyzikálního inženýrství ČVUT FJFI CZ S 2015 84950286457 SCOPUS PUBMED 000376668800143 WOS cav_un_epca*0506856 Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems 978-1-4673-6595-6 894 899 Piscataway IEEE 2015