| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0377345 |
| utime |
20240111140816.9 |
| mtime |
20120607235959.9 |
| title
(primary) (eng) |
Gradient Method Optimization of Penicillin Production |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0377344 |
| ISBN |
978-1-4577-2072-7 |
| title
|
Proceedings of the 24th Chinese Control and Decision (2012 CCDC) |
| part_num |
IEEE Catalog Number: CFP1251D-CDR |
| page_num |
74-79 |
| publisher |
| place |
Taiyuan |
| name |
IEEE |
| year |
2012 |
|
|
| keyword |
fermentation process |
| keyword |
penicillin |
| keyword |
gradient method |
| keyword |
optimization |
| author
(primary) |
| ARLID |
cav_un_auth*0281469 |
| name1 |
Pčolka |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101074 |
| name1 |
Čelikovský |
| name2 |
Sergej |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| institution |
UTIA-B |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/12/1794 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0283207 |
|
| abstract
(eng) |
A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.). The biomass growth is usually followed by the production of various products from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization. However, the complicated dynamics, high level of uncertainty and nonlinearity and difficult online measurement of the process variables come hand in hand with the attractivity and turn the attempts on optimal control of the fermentation process into a very delicate challenge. To tackle it, the theory of the gradient projection method has been partially adapted and fully implemented by the authors of this paper. Numerical experiments show its significantly better performance than for other known methods. Moreover, these experiments reveal an interesting ”superprofile” visible for long cultivation times. |
| action |
| ARLID |
cav_un_auth*0281470 |
| name |
The 24th Chinese Control and Decision Conference (2012 CCDC) |
| place |
Taiyuan |
| dates |
23.05.2012-25.05.2012 |
| country |
CN |
|
| reportyear |
2013 |
| RIV |
BC |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0209522 |
| arlyear |
2012 |
| mrcbU56 |
textový dokument 188 kB |
| mrcbU63 |
cav_un_epca*0377344 Proceedings of the 24th Chinese Control and Decision (2012 CCDC) IEEE Catalog Number: CFP1251D-CDR 978-1-4577-2072-7 74 79 Taiyuan IEEE 2012 |
|