Self-tuning predictive control of a coupled drives process

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870047" target="_blank" >RIV/70883521:28140/13:43870047 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28610/13:43870047
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Self-tuning predictive control of a coupled drives process
Original language description
This paper is focused on an application of a self - tuning predictive controller for real - time control of a coupled drives apparatus laboratory model, which models a multivariable non-linear system. The controller integrates an on - line identificationof an ARX model of a controlled system and a predictive control synthesis on the basis of the identified parameters. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a multivariable CARIMA model. Results of real-time experiments are also included.
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
—

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Mathematical Models and Methods in Applied Sciences
ISSN
1998-0140
e-ISSN
—
Volume of the periodical
7
Issue of the periodical within the volume
10
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
863-870
UT code for WoS article
—
EID of the result in the Scopus database
—

Similar results(10)