| bibtype |
M -
Monography Chapter
|
| ARLID |
0511101 |
| utime |
20240103222925.9 |
| mtime |
20191117235959.9 |
| SCOPUS |
85075680374 |
| DOI |
10.1007/978-3-030-31993-9 |
| title
(primary) (eng) |
Approximate Bayesian Prediction Using State Space Model with Uniform Noise |
| specification |
| book_pages |
570 |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0517111 |
| ISBN |
978-3-030-31992-2 |
| ISSN |
1876-1100 |
| title
|
Informatics in Control, Automation and Robotics : 15th International Conference, ICINCO 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers |
| page_num |
552-568 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2019 |
|
| editor |
|
| editor |
|
|
| keyword |
stochastic state space model |
| keyword |
observation prediction |
| keyword |
Bayesian state space estimation |
| keyword |
uniform noise |
| author
(primary) |
| ARLID |
cav_un_auth*0101119 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| name1 |
Jirsa |
| name2 |
Ladislav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0382598 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| name1 |
Kuklišová Pavelková |
| name2 |
Lenka |
| institution |
UTIA-B |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0370768 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| name1 |
Quinn |
| name2 |
Anthony |
| institution |
UTIA-B |
| country |
IE |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-15970S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0362986 |
|
| abstract
(eng) |
This paper proposes a one-step-ahead Bayesian output predictor for the linear stochastic state space model with uniformly distributed state and output noises. A model with discrete-time inputs,\noutputs and states is considered. The model matrices and noise parameters are supposed to be known. Unknown states are estimated using Bayesian approach. A complex polytopic support of posterior probability density function (pdf) is approximated by a parallelotopic set. The state estimation consists of two stages, namely the time and data update including the mentioned approximation. The output prediction is performed as an inter-step between the time update and the data update. The behaviour of the proposed algorithm is illustrated by simulations and compared with Kalman filter. |
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2020 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0302396 |
| confidential |
S |
| arlyear |
2019 |
| mrcbU14 |
85075680374 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0517111 Informatics in Control, Automation and Robotics : 15th International Conference, ICINCO 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers 978-3-030-31992-2 1876-1100 552 568 Cham Springer 2019 Lecture Notes in Electrical Engineering 613 |
| mrcbU67 |
Gusikhin O. 340 |
| mrcbU67 |
340 Madani K. |
|