| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0572571 |
| utime |
20240402214025.0 |
| mtime |
20230605235959.9 |
| SCOPUS |
85148749407 |
| WOS |
000992418500010 |
| DOI |
10.1007/978-3-031-21438-7_10 |
| title
(primary) (eng) |
Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay |
| specification |
| page_count |
14 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0572570 |
| ISBN |
978-3-031-21437-0 |
| title
|
Data Science and Algorithms in Systems. CoMeSySo 2022 |
| page_num |
118-131 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2023 |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
Artificial delay |
| keyword |
Infinite-dimensional model |
| keyword |
Nelder-Mead algorithm |
| keyword |
Relay-based identification |
| author
(primary) |
| ARLID |
cav_un_auth*0450647 |
| name1 |
Pekař |
| name2 |
L. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0382598 |
| name1 |
Kuklišová Pavelková |
| name2 |
Lenka |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0450649 |
| name1 |
Matušů |
| name2 |
R. |
| country |
CZ |
|
| cas_special |
| abstract
(eng) |
This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure\nhas applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm.\nFinally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this\ncontribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the\nNelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains. |
| action |
| ARLID |
cav_un_auth*0450917 |
| name |
Computational Methods in Systems and Software (CoMeSySo) 2022 |
| dates |
20221010 |
| mrcbC20-s |
20221015 |
| place |
online |
| country |
CZ |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2024 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0343820 |
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
85148749407 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000992418500010 WOS |
| mrcbU63 |
cav_un_epca*0572570 Data Science and Algorithms in Systems. CoMeSySo 2022 Springer 2023 Cham 118 131 978-3-031-21437-0 Lecture Notes in Networks and Systems 597 |
| mrcbU67 |
Šilhavý R. 340 |
| mrcbU67 |
Šilhavý P. 340 |
| mrcbU67 |
Prokopová Z. 340 |
|