| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0360430 |
| utime |
20240111140756.9 |
| mtime |
20110711235959.9 |
| title
(primary) (eng) |
Online filtering for hybrid systems |
| specification |
| page_count |
8 s. |
| media_type |
CD |
|
| serial |
| ARLID |
cav_un_epca*0360429 |
| ISBN |
978-88-467-3045-9 |
| title
|
Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference (ASMDA2011) |
| page_num |
1299-1306 |
| publisher |
| place |
Rome |
| name |
Faculty of Economics of the University of Rome “La Sapienza” |
| year |
2011 |
|
|
| keyword |
state estimation |
| keyword |
online filtering |
| keyword |
hybrid systems |
| author
(primary) |
| ARLID |
cav_un_auth*0108105 |
| name1 |
Suzdaleva |
| name2 |
Evgenia |
| 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 Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0267374 |
| name1 |
Dungl |
| name2 |
Martin |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper deals with online state estimation for dynamic hybrid systems with mixed continuous and discrete states. The proposed solution is based on a decomposed version of the state-space model and Bayesian filtering. Specialization to Gaussian linear dynamic and multinomial state-space models is described. Experiments with real data illustrating the presented approach are provided. |
| action |
| ARLID |
cav_un_auth*0272717 |
| name |
14th Applied Stochastic Models and Data Analysis Conference |
| place |
Rome |
| dates |
07.06.2011-10.06.2011 |
| country |
IT |
|
| reportyear |
2012 |
| RIV |
BC |
| permalink |
http://hdl.handle.net/11104/0197988 |
| arlyear |
2011 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0360429 Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference (ASMDA2011) 978-88-467-3045-9 1299 1306 Rome Faculty of Economics of the University of Rome “La Sapienza” 2011 |
|