bibtype	J - Journal Article
ARLID	0460324
utime	20240103212338.5
mtime	20160624235959.9
SCOPUS	84975302256
WOS	000385940700015
DOI	10.1080/00207721.2016.1197979
title (primary) (eng)	Towards probabilistic synchronisation of local controllers
specification	page_count 12 s. media_type P
serial	ARLID cav_un_epca*0256821 ISSN 0020-7721 title International Journal of Systems Science volume_id 48 volume 3 (2017) page_num 604-615 publisher name Taylor & Francis
keyword	cooperative control
keyword	optimal control
keyword	complex systems
keyword	stochastic systems
keyword	fully probabilistic desing
author (primary)	ARLID cav_un_auth*0329444 share 60 name1 Herzallah name2 R. country GB garant A
author	ARLID cav_un_auth*0101124 full_dept Department of Adaptive Systems share 40 name1 Kárný name2 Miroslav institution UTIA-B full_dept (cz) Adaptivní systémy full_dept Department of Adaptive Systems department (cz) AS department AS garant S fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2017/AS/karny-0460324.pdf
cas_special	project ARLID cav_un_auth*0292725 project_id GA13-13502S agency GA ČR abstract (eng) 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. RIV BB FORD0 10000 FORD1 10100 FORD2 10103 reportyear 2017 num_of_auth 2 mrcbC52 4 A hod 4ah 20231122141738.5 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0260438 cooperation ARLID cav_un_auth*0331290 name NCRG, Aston University, Birmingham institution NCRG Aston country GB mrcbC64 1 Department of Adaptive Systems UTIA-B 20205 AUTOMATION & CONTROL SYSTEMS confidential S mrcbC83 RIV/67985556:_____/17:00460324!RIV17-AV0-67985556 191870805 Doplnění OECD UTIA-B mrcbC83 RIV/67985556:_____/17:00460324!RIV17-GA0-67985556 191876836 Doplnění OECD UTIA-B mrcbC86 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science mrcbC86 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science mrcbC86 3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science mrcbT16-e OPERATIONSRESEARCH&MANAGEMENTSCIENCE|COMPUTERSCIENCE.THEORY&METHODS|AUTOMATION&CONTROLSYSTEMS mrcbT16-f 2.102 mrcbT16-g 0.665 mrcbT16-h 4.9 mrcbT16-i 0.00797 mrcbT16-j 0.498 mrcbT16-k 4591 mrcbT16-s 0.763 mrcbT16-5 1.808 mrcbT16-6 316 mrcbT16-7 Q1 mrcbT16-B 37.489 mrcbT16-C 67.2 mrcbT16-D Q3 mrcbT16-E Q2 mrcbT16-M 1.06 mrcbT16-N Q1 mrcbT16-P 77.184 arlyear 2017 mrcbTft \nSoubory v repozitáři: karny-0460324.pdf mrcbU14 84975302256 SCOPUS mrcbU34 000385940700015 WOS mrcbU63 cav_un_epca*0256821 International Journal of Systems Science 0020-7721 1464-5319 Roč. 48 č. 3 2017 604 615 Taylor & Francis