| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0411184 |
| utime |
20240111140636.2 |
| mtime |
20060210235959.9 |
| ISBN |
80-227-1902-1 |
| title
(primary) (eng) |
Smooth model selection in multiple-model LQ adaptive control |
| publisher |
| place |
Bratislava |
| name |
STU |
| pub_time |
2003 |
|
| specification |
|
| serial |
| title
|
Proceedings of the 14th International Conference on Process Control 2003 |
| page_num |
101-107 |
|
| keyword |
multiple-model |
| keyword |
linear-quadratic control |
| keyword |
adaptive control |
| author
(primary) |
| ARLID |
cav_un_auth*0101070 |
| name1 |
Böhm |
| name2 |
Josef |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| COSATI |
09I |
| cas_special |
| project |
| project_id |
GA102/02/0204 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004106 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Multiple model representation is used here as a basis of aptive control. Instead of parameter identification, it is used model probabilities evaluation. The set of models with their probabilities are used in the multiple-model LQ controller design. The approach is demonstrated on the control of a nonlinear plant. As such example, the elevation dynamics of a helicopter model was used. |
| action |
| ARLID |
cav_un_auth*0213103 |
| name |
Process Control '03 /14./ |
| place |
Štrbské Pleso |
| country |
SK |
| dates |
08.06.2003-11.06.2003 |
|
| RIV |
BC |
| department |
AS |
| permalink |
http://hdl.handle.net/11104/0131270 |
| ID_orig |
UTIA-B 20030171 |
| arlyear |
2003 |
| mrcbU10 |
2003 |
| mrcbU10 |
Bratislava STU |
| mrcbU12 |
80-227-1902-1 |
| mrcbU56 |
170 kB |
| mrcbU63 |
Proceedings of the 14th International Conference on Process Control 2003 101 107 |
|