| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0491010 |
| utime |
20240111141003.7 |
| mtime |
20180712235959.9 |
| SCOPUS |
85052624552 |
| WOS |
000443321500008 |
| DOI |
10.1016/j.ifacol.2018.07.252 |
| title
(primary) (eng) |
Sensor Fusion for simple walking robot using low-level implementation of Extended Kalman Filter |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0494443 |
| ISSN |
2405-8963 |
| title
|
IFAC-PapersOnLine. Volume 51, Issue 13. : 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2018 |
| page_num |
43-48 |
| publisher |
| place |
Amsterdam |
| name |
Elsevier |
| year |
2018 |
|
|
| keyword |
Filtering and smoothing |
| keyword |
Digital implementation |
| keyword |
Walking robot |
| author
(primary) |
| ARLID |
cav_un_auth*0252057 |
| name1 |
Anderle |
| name2 |
Milan |
| institution |
UTIA-B |
| full_dept (cz) |
Teorie řízení |
| full_dept (eng) |
Department of Control Theory |
| department (cz) |
TŘ |
| department (eng) |
TR |
| full_dept |
Department of Control Theory |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101074 |
| name1 |
Čelikovský |
| name2 |
Sergej |
| institution |
UTIA-B |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
| source_type |
konferenční příspěvek |
| source_size |
1,17 MB |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347203 |
| project_id |
GA17-04682S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
The main aim of this paper depicts in design and implementation of the Extended\nKalman Filter for a nonlinear system in an application of a sensor fusion from a practical point of view. The sensor fusion is a typical data processing problem in mechanical systems where individual measurements of (angular) positions, velocities or accelerations are done independently on each other but the measured values are correlated to each other via dynamics of the system. Moreover, the measurement is corrupted by noise. The sensor fusion technique is capable to gain proper information about positions, velocities or accelerations from inaccurate\nmeasurement. In background of the sensor fusion algorithm, in our particular case, works the Extended Kalman Filter. Its adaptation for a simple mechanical system represented by a nonlinear system are object of the research in this paper related to usage of the Extended Kalman Filter on a low cost hardware. |
| action |
| ARLID |
cav_un_auth*0362231 |
| name |
Second IFAC Conference on Modelling, Identification and Control of Nonlinear Systems |
| dates |
20180620 |
| mrcbC20-s |
20180622 |
| place |
Guadalajara |
| country |
MX |
|
| RIV |
BC |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2019 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0285102 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/18:00491010!RIV19-AV0-67985556 192095187 Doplnění UT WOS a Scopus |
| mrcbC83 |
RIV/67985556:_____/18:00491010!RIV19-GA0-67985556 192084141 Doplnění UT WOS a Scopus |
| mrcbC86 |
n.a. Proceedings Paper Automation Control Systems |
| mrcbT16-s |
0.234 |
| mrcbT16-4 |
Q3 |
| mrcbT16-E |
Q4 |
| arlyear |
2018 |
| mrcbU14 |
85052624552 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000443321500008 WOS |
| mrcbU56 |
konferenční příspěvek 1,17 MB |
| mrcbU63 |
cav_un_epca*0494443 IFAC-PapersOnLine. Volume 51, Issue 13. : 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2018 2405-8963 43 48 Amsterdam Elsevier 2018 |
|