| bibtype |
J -
Journal Article
|
| ARLID |
0488528 |
| utime |
20240903170639.4 |
| mtime |
20180321235959.9 |
| SCOPUS |
85044349988 |
| WOS |
000430527200010 |
| DOI |
10.14736/kyb-2018-1-0155 |
| title
(primary) (eng) |
Adaptive high gain observer extension and its application to bioprocess monitoring |
| specification |
| page_count |
20 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0297163 |
| ISSN |
0023-5954 |
| title
|
Kybernetika |
| volume_id |
54 |
| volume |
1 (2018) |
| page_num |
155-174 |
| publisher |
| name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
| keyword |
Adaptive observers |
| keyword |
nonlinear systems |
| keyword |
bioprocess |
| author
(primary) |
| ARLID |
cav_un_auth*0101074 |
| name1 |
Čelikovský |
| name2 |
Sergej |
| full_dept (cz) |
Teorie řízení |
| full_dept (eng) |
Department of Control Theory |
| department (cz) |
TŘ |
| department (eng) |
TR |
| institution |
UTIA-B |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0212796 |
| name1 |
Torres-Munoz |
| name2 |
J. A. |
| country |
MX |
|
| author
|
| ARLID |
cav_un_auth*0359546 |
| name1 |
Dominguez-Bocanegra |
| name2 |
A. R. |
| country |
MX |
|
| source |
|
| cas_special |
| abstract
(eng) |
The adaptive version of the high gain observer for the strictly triangular systems subjected to constant unknown disturbances is proposed here. The adaptive feature is necessary due to the fact that the unknown disturbance enters in a way that cannot be suppressed by the high gain technique. The developed observers are then applied to a culture of microorganism in a bioreactor, namely, to the model of the continuous culture of Spirulina maxima. It is a common practice that just the biomass (or substrate) concentration is directly measured as the output of the process for monitoring and control purposes. This paper thereby shows both by theoretical analysis and numerical simulation that the adaptive high-gain observers o er a realistic option of online software sensors for substrate estimation. |
| result_subspec |
WOS |
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0283115 |
| confidential |
S |
| mrcbC86 |
2 Article Computer Science Cybernetics |
| mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
| mrcbT16-j |
0.174 |
| mrcbT16-s |
0.268 |
| mrcbT16-B |
15.991 |
| mrcbT16-D |
Q4 |
| mrcbT16-E |
Q3 |
| arlyear |
2018 |
| mrcbU14 |
85044349988 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000430527200010 WOS |
| mrcbU56 |
452 KB |
| mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 54 č. 1 2018 155 174 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|