bibtype J - Journal Article
ARLID 0505059
utime 20240103222057.0
mtime 20190530235959.9
SCOPUS 85028818477
WOS 000468165800002
DOI 10.1007/s00245-017-9448-7
title (primary) (eng) Ergodic maximum principle for stochastic systems
specification
page_count 25 s.
media_type P
serial
ARLID cav_un_epca*0256161
ISSN 0095-4616
title Applied Mathematics and Optimization
volume_id 79
volume 3 (2019)
page_num 567-591
publisher
name Springer
keyword stochastic maximum principle
keyword backward stochastic differential equations
keyword ergodic control problem
author (primary)
ARLID cav_un_auth*0375560
share 33
name1 Orrieri
name2 C.
country IT
author
ARLID cav_un_auth*0375561
share 33
name1 Tessitore
name2 G.
country IT
author
ARLID cav_un_auth*0265650
name1 Veverka
name2 Petr
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
full_dept Department of Stochastic Informatics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/E/veverka-0505059.pdf
source
url https://link.springer.com/article/10.1007/s00245-017-9448-7?shared-article-renderer
cas_special
abstract (eng) A version of the stochastic maximum principle for ergodic control problems is presented. In particular, necessary (and sufficient) conditions for optimality for controlled dissipative systems in finite dimensions are given.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2020
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0297070
confidential S
mrcbC86 3+4 Article Mathematics Applied
mrcbC91 C
mrcbT16-e MATHEMATICSAPPLIED
mrcbT16-j 1.164
mrcbT16-s 0.867
mrcbT16-B 87.281
mrcbT16-D Q1
mrcbT16-E Q2
arlyear 2019
mrcbU14 85028818477 SCOPUS
mrcbU24 PUBMED
mrcbU34 000468165800002 WOS
mrcbU63 cav_un_epca*0256161 Applied Mathematics and Optimization 0095-4616 1432-0606 Roč. 79 č. 3 2019 567 591 Springer