bibtype V - Research Report
ARLID 0093422
utime 20240103185120.0
mtime 20080103235959.9
title (primary) (eng) An Adaptive Feed-Forward Control
publisher
place Praha
name ÚTIA AV ČR
pub_time 2007
specification
page_count 16 s.
edition
name Research Report
volume_id 2214
title (cze) Adaptivní dopředné řízení
keyword adaptive feed=forward control
keyword approximation
author (primary)
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.
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id 2C06001
agency GA MŠk
ARLID cav_un_auth*0217685
research CEZ:AV0Z10750506
abstract (eng) Feed-forward controllers are important in a range of control problems. Their importance is obvious in tasks in which potential of feedback control is limited, for instance, in systems with long transportation delays. Formally, their design can be approached by a standard methodology of optimal stochastic control. It can be consistently performed by combining Bayesian learning and dynamic programming. This formal solution can, however, rarely be converted into a computationally feasible algorithms. Thus, various approximations are searched for. The current report deals with a specific type of approximation based on a projection of optimal /emph{anticipating} control strategy to a non-anticipating one. This approximation way suits to the feed-forward control in which the selected system inputs influence the state of the controller but not the system-related data used in the feed-forward loop.
abstract (cze) V práci je popsán speciální návrh adaptivní dopředné vazby založený na neanticipativní aproximaci optimální anticipativní strategie.
reportyear 2008
RIV BB
permalink http://hdl.handle.net/11104/0153477
arlyear 2007
mrcbU10 2007
mrcbU10 Praha ÚTIA AV ČR