bibtype	J - Journal Article
ARLID	0525231
utime	20240103224203.4
mtime	20200623235959.9
SCOPUS	85085607647
WOS	000540349700008
DOI	10.1016/j.sysconle.2020.104719
title (primary) (eng)	Axiomatisation of Fully Probabilistic Design Revisited
specification	page_count 13 s. media_type P
serial	ARLID cav_un_epca*0257642 ISSN 0167-6911 title Systems and Control Letters volume_id 141 publisher name Elsevier
keyword	Closed-loop control
keyword	Control theory
keyword	Stochastic control
keyword	Stochastic modelling
keyword	Performance indices
author (primary)	ARLID cav_un_auth*0101124 name1 Kárný name2 Miroslav institution UTIA-B full_dept (cz) Adaptivní systémy full_dept (eng) Department of Adaptive Systems department (cz) AS department (eng) AS full_dept Department of Adaptive Systems garant K fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2020/AS/karny-0525231.pdf
source	url https://www.sciencedirect.com/science/article/pii/S0167691120301006
cas_special	project project_id LTC18075 agency GA MŠk country CZ ARLID cav_un_auth*0372050 project project_id CA16228 agency The European Cooperation in Science and Technology (COST) country XE ARLID cav_un_auth*0372051 abstract (eng) Fully probabilistic design (FPD) of control strategies models both the closed control loop and control objectives by joint probabilities of involved variables. It selects the optimal strategy as the minimiser of Kullback–Leibler (KL) divergence of the closed-loop model to its ideal counterpart expressing the control objectives. Since its proposal (Kárný, 1996) and general algorithmisation (Kárný and Guy, 2006), FPD has been axiomatised (Kárný and Kroupa, 2012) and successfully applied both theoretically (Kárný and Guy, 2012) and practically (Quinn et al., 2003. Kárný et al., 2006)[1]. This paper refines the FPD axiomatisation and bridges FPD to standard stochastic control theory, which it encompasses, in a better way. This enhances applicability of both as well as of its popular, independently proposed, special case known as KL control (Guan et al., 2014). result_subspec WOS RIV BC FORD0 10000 FORD1 10200 FORD2 10201 reportyear 2021 mrcbC52 4 A sml 4as 20231122145000.8 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0309413 mrcbC61 1 confidential S contract name Publishing Agreement date 20200601 article_num 104719 mrcbC86 3+4 Article Automation Control Systems|Operations Research Management Science mrcbC91 C mrcbT16-e AUTOMATIONCONTROLSYSTEMS|OPERATIONSRESEARCHMANAGEMENTSCIENCE mrcbT16-i 1.92394 mrcbT16-j 1.284 mrcbT16-s 1.289 mrcbT16-B 71.781 mrcbT16-D Q2 mrcbT16-E Q1 arlyear 2020 mrcbTft \nSoubory v repozitáři: karny-0525231-SCL104719.html mrcbU14 85085607647 SCOPUS mrcbU24 PUBMED mrcbU34 000540349700008 WOS mrcbU63 cav_un_epca*0257642 Systems and Control Letters 0167-6911 1872-7956 Roč. 141 č. 1 2020 Elsevier