| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0460758 |
| utime |
20240111140921.5 |
| mtime |
20160718235959.9 |
| SCOPUS |
84992146004 |
| WOS |
000388376103095 |
| DOI |
10.1109/ACC.2016.7525460 |
| title
(primary) (eng) |
Algorithms for Nonlinear Predictive Control Maximizing Penicillin Production Efficiency |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0460757 |
| ISBN |
978-1-4673-8681-4 |
| title
|
Proceedings of the Americal Control Conference (ACC), Boston 2016 |
| part_num |
CFP16ACC-USB |
| page_num |
3527-3532 |
| publisher |
| place |
Boston |
| name |
IEEE |
| year |
2016 |
|
|
| keyword |
nonlinear predictive control |
| keyword |
optimization algorithms |
| keyword |
system dynamics |
| author
(primary) |
| ARLID |
cav_un_auth*0281469 |
| name1 |
Pčolka |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101074 |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| full_dept |
Department of Control Theory |
| name1 |
Čelikovský |
| name2 |
Sergej |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
| source_type |
odborný článek na konferenci |
| source_size |
285 kB |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292613 |
| project_id |
GA13-20433S |
| agency |
GA ČR |
|
| abstract
(eng) |
In this paper, maximization of efficiency of the penicillin production is addressed. To overcome the issues caused by the terminal time being an optimizable parameter, two adaptations of the Hamiltonian-based gradient method are proposed. The first algorithm incorporates the terminal time directly into the set of optimized variables while the second one makes use of a time scaling with optimizable time-dependent time scale being a virtual input. Both algorithms are verified on a set of numerical experiments and the obtained results show significant improvement of the penicillin production efficiency gained by their use, which suggests their exploitation within the industrial nonlinear predictive controllers for bioprocess optimization. |
| action |
| ARLID |
cav_un_auth*0331565 |
| name |
The American Control Conference (ACC) 2016 |
| dates |
06.07.2016-08.07.2016 |
| place |
Boston |
| country |
US |
|
| RIV |
BC |
| reportyear |
2017 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0260951 |
| cooperation |
| ARLID |
cav_un_auth*0320924 |
| name |
Czech Technical University in Prague, Department of Control Engineering, Faculty of Electrical Engineering |
| institution |
CTU FEE |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Automation Control Systems |
| arlyear |
2016 |
| mrcbU14 |
84992146004 SCOPUS |
| mrcbU34 |
000388376103095 WOS |
| mrcbU56 |
odborný článek na konferenci 285 kB |
| mrcbU63 |
cav_un_epca*0460757 Proceedings of the Americal Control Conference (ACC), Boston 2016 CFP16ACC-USB 978-1-4673-8681-4 3527 3532 Boston IEEE 2016 |
|