Adaptive Predictive Control of Three -Tank - System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508943" target="_blank" >RIV/70883521:28140/10:63508943 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Adaptive Predictive Control of Three -Tank - System
Original language description
This paper is focused in application of a self - tuning predictive controller for real - time control of a three - tank - system laboratory model. The objective laboratory model is a two input - two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. The controller integrates a predictive control synthesis based on a multivariable state ? space model of the controlled system and an on ? line identification of an ARX model corresponding to the state ?space model. The used approach then combines both state ? space and input ? output models. 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. Results of real-time experiments are also included.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Modelling, Identification, and Control
ISSN
1025-8973
e-ISSN
—
Volume of the periodical
29
Issue of the periodical within the volume
29
Country of publishing house
CA - CANADA
Number of pages
7
Pages from-to
—
UT code for WoS article
—
EID of the result in the Scopus database
—