| bibtype |
V -
Research Report
|
| ARLID |
0322746 |
| utime |
20240111140717.2 |
| mtime |
20090324235959.9 |
| title
(primary) (eng) |
Partial Forgetting. A new method for tracking time-variant parameters |
| publisher |
| place |
Praha |
| name |
UTIA AV ČR |
| pub_time |
2009 |
|
| specification |
| page_count |
20 s. |
| media_type |
www |
|
| edition |
| name |
Research Report |
| volume_id |
2249 |
|
| title
(cze) |
Parciální zapomínání. Nová metoda sledování časově proměnných parametrů |
| keyword |
parameter estimation |
| keyword |
forgetting |
| keyword |
modelling |
| 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 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Tracking of slowly varying parameters is an important task in the theory of adaptive systems. Majority of prediction and control algorithms, employing regression models like autoregression model (AR), autoregression model with exogenous inputs (ARX), autoregression model with moving average (ARMA) etc., assume a carefully defined model structure and correctly estimated parameters. Problems arise, when the model parameters vary in time. The problems of slowly time-varying model parameters were given a thorough attention. The proposed partial forgetting method tries to solve this issue by a new approach. |
| reportyear |
2009 |
| RIV |
BD |
| mrcbC52 |
4 O 4o 20231122133808.7 |
| permalink |
http://hdl.handle.net/11104/0170912 |
| arlyear |
2009 |
| mrcbTft |
\nSoubory v repozitáři: 0322746.pdf |
| mrcbU10 |
2009 |
| mrcbU10 |
Praha UTIA AV ČR |
| mrcbU56 |
pdf |
|