bibtype C - Conference Paper (international conference)
ARLID 0410777
utime 20240103182238.4
mtime 20060210235959.9
ISBN 963-311-354-7
title (primary) (eng) How to build-in prior information into adaptive controllers
publisher
place Budapest
name Hungarian Academy of Sciences
pub_time 2001
specification
page_count 6 s.
serial
title Proceedings of the 2nd International Workshop C&I Eurodays: Young Generation Viewpoint
page_num 20-25
keyword process control
keyword prior information
keyword Bayesian identification
author (primary)
ARLID cav_un_auth*0101126
name1 Khailova
name2 Natalia
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09I
cas_special
project
project_id GA102/99/1564
agency GA ČR
ARLID cav_un_auth*0004444
project
project_id GA102/99/1292
agency GA ČR
ARLID cav_un_auth*0004437
project
project_id 99-12058
agency EC IST
country BE
research AV0Z1075907
abstract (eng) The process of the control design requires a system model and a control criteria. We deal with ARX model and quadratic criteria as the most convenient and simple, from our view point. Prior information seems to be an important source for improving of identification result which, in its turn, influences the results of the control design. The objective of this article is to show how processing of prior information is built-in DESIGNER software, including both theoretical and algorithmic description.
action
ARLID cav_un_auth*0212880
name International Workshop C&I Eurodays: Young Generation Viewpoint /2./
place Balatonfured
country HU
dates 17.09.2001-22.09.2001
RIV BC
department AS
permalink http://hdl.handle.net/11104/0130864
ID_orig UTIA-B 20010246
arlyear 2001
mrcbU10 2001
mrcbU10 Budapest Hungarian Academy of Sciences
mrcbU12 963-311-354-7
mrcbU63 Proceedings of the 2nd International Workshop C&I Eurodays: Young Generation Viewpoint 20 25