bibtype	A - Abstract
ARLID	0368083
utime	20240103195926.5
mtime	20111208235959.9
title (primary) (eng)	Decentralization of Fully Probabilistic Control Design using Variational Bayes Approximation
specification	page_count 1 s. media_type pdf
serial	ARLID cav_un_epca*0368220 title Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making page_num 37-37 publisher place Praha name ÚTIA AVČR, v.v.i year 2011 editor name1 Janžura name2 M. editor name1 Ivánek name2 J.
keyword	fully probabilistic control design
keyword	variational bayes approximation
keyword	distributed control design
author (primary)	ARLID cav_un_auth*0267768 name1 Tichý name2 Ondřej full_dept (cz) Adaptivní systémy full_dept (eng) Department of Adaptive Systems department (cz) AS department (eng) AS institution UTIA-B full_dept Department of Adaptive Systems fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0101207 name1 Šmídl name2 Václav full_dept (cz) Adaptivní systémy full_dept Department of Adaptive Systems department (cz) AS department AS institution UTIA-B full_dept Department of Adaptive Systems fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2011/AS/tichy-decentralization of fully probabilistic control design using variational bayes approximation.pdf
cas_special	project project_id TA01030603 agency GA TA ČR ARLID cav_un_auth*0272526 research CEZ:AV0Z10750506 abstract (eng) We are concerned with design of decentralization control strategy for stochastic systems with global performance measure. Such a strategy is required e.g. for creation of a distributed control systems for traffic light signalization. The technique of Fully Probabilistic Control Design (FPD) is capable of solving the task for centralized control strategy via Kullback-Leibler divergence (KLD) minimization. In this contribution, we propose a way for decentralization of FPD using the Variational Bayes (VB) approximation. This approximation is a well known technique of Bayesian estimation and it is based on approximation of the true posterior density by a product of conditionally independent densities, VB-marginals. The fundamental principle is again minimization of the KLD between a product of conditionally independent densities and the true posterior. Typically, the solution is found in the form of a set of implicit equations. action ARLID cav_un_auth*0276643 name 7th International Workshop on Data – Algorithms – Decision Making place Mariánská dates 27.11.2011-29.11.2011 country CZ reportyear 2012 RIV BC num_of_auth 2 mrcbC52 4 O 4o 20231122134803.7 permalink http://hdl.handle.net/11104/0202538 arlyear 2011 mrcbTft \nSoubory v repozitáři: 0368083.pdf mrcbU63 cav_un_epca*0368220 Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making 37 37 Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making Praha ÚTIA AVČR, v.v.i 2011 mrcbU67 Janžura M. 340 mrcbU67 Ivánek J. 340