| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0328717 |
| utime |
20240111140724.7 |
| mtime |
20090915235959.9 |
| title
(primary) (eng) |
Parameter Estimation With Partial Forgetting Method |
| specification |
| page_count |
6 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0329275 |
| title
|
Proceedings of the 15th IFAC Symposium on Identification and System Parameter Estimation - SYSID 2009 |
| page_num |
534-539 |
| publisher |
| place |
Saint-Malo |
| name |
IFAC |
| year |
2009 |
|
|
| title
(cze) |
Odhad parametrů metodou parcialního zapomínání |
| keyword |
autoregressive models |
| keyword |
model |
| keyword |
parameter estimation |
| keyword |
prediction |
| keyword |
regression |
| author
(primary) |
| ARLID |
cav_un_auth*0242543 |
| name1 |
Dedecius |
| name2 |
Kamil |
| 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*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| 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*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. |
|
| author
|
| ARLID |
cav_un_auth*0101175 |
| name1 |
Pavelková |
| name2 |
Lenka |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
2C06001 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0217685 |
|
| project |
| project_id |
GA102/08/0567 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239566 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper proposes a new estimating algorithm for linear parameter varying systems with slowly time-varying parameters when the rate of change of individual parameters is different. It introduces a true probability density function, describing ideally the behaviour of parameters. However, as it is unknown, we search for its best approximation. A convex combination of point estimates, defined by individual hypotheses about the true probability density function, is then approximated by a single density. That serves as the best available description of parameters' behaviour and it is therefore suitable e.g. for prediction purposes. |
| abstract
(cze) |
Článek představuje nový rozhodovací algoritmus pro lineární parametry různých systémů s pomalými časově-variačními parametry, kde je velmi malá pravděpodobnost, že se jednotlivé parametry změní. |
| action |
| ARLID |
cav_un_auth*0253725 |
| name |
15th IFAC Symposium on Identification and System Parameter Estimation - SYSID 2009 |
| place |
Saint-Malo |
| dates |
06.07.2009-08.07.2009 |
| country |
FR |
|
| reportyear |
2010 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0174962 |
| arlyear |
2009 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0329275 Proceedings of the 15th IFAC Symposium on Identification and System Parameter Estimation - SYSID 2009 534 539 Saint-Malo IFAC 2009 |
|