0460324 20240103212338.520160624235959.9 84975302256 000385940700015 10.1080/00207721.2016.1197979 12 s. P cav_un_epca*02568210020-7721483 (2017)604-615Taylor & Francis cooperative control optimal control complex systems stochastic systems fully probabilistic desing cav_un_auth*0329444 60 Herzallah R. GB A cav_un_auth*0101124 Department of Adaptive Systems 40 Kárný Miroslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS S Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2017/AS/karny-0460324.pdf cav_un_auth*0292725 GA13-13502S GA ČR The traditional use of global and centralised controlmethods fails for large, complex, noisy and highly connected systems, which typify many real-world industrial and commercial systems. This paper provides an efficient bottom-up design of distributed control in which many simple components communicate and cooperate to achieve a joint systemgoal. Each component acts individually so as to maximise personal utility whilst obtaining probabilistic information on the global system merely through local message-passing. This leads to an implied scalable and collective control strategy for complex dynamical systems,without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on a linearised version of coupled map lattice with spatio-temporal chaos. BB 10000 10100 10103 2017 2 4 A hod 4ah 20231122141738.5 RVO:67985556 http://hdl.handle.net/11104/0260438 cav_un_auth*0331290 NCRG, Aston University, Birmingham NCRG Aston GB 1 Department of Adaptive Systems UTIA-B 20205 AUTOMATION & CONTROL SYSTEMS S RIV/67985556:_____/17:00460324!RIV17-AV0-67985556 191870805 Doplnění OECD UTIA-B RIV/67985556:_____/17:00460324!RIV17-GA0-67985556 191876836 Doplnění OECD UTIA-B 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science OPERATIONSRESEARCH&MANAGEMENTSCIENCE|COMPUTERSCIENCE.THEORY&METHODS|AUTOMATION&CONTROLSYSTEMS 2.102 0.665 4.9 0.00797 0.498 4591 0.763 1.808 316 Q1 37.489 67.2 Q3 Q2 1.06 Q1 77.184 2017 Soubory v repozitáři: karny-0460324.pdf 84975302256 SCOPUS 000385940700015 WOS cav_un_epca*0256821 International Journal of Systems Science 0020-7721 1464-5319 Roč. 48 č. 3 2017 604 615 Taylor & Francis