Computation of Predictions in Multivariable Predictive Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866469" target="_blank" >RIV/70883521:28140/11:43866469 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28610/11:43866469
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Computation of Predictions in Multivariable Predictive Control
Original language description
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which have developed considerably over a few past years. It is mostly based on discrete models of controlled systems. Model of a controlled system is used forcomputation of predictions of the systems output on the basis of past inputs, outputs and states and designed sequence of future control increments. This paper is focused in comparison of various approaches to computation of multi ? step ahead predictions using a multivariable input ? output model. Computational aspects of derivation of predictions can be limitting especially in adaptive predictive control.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Researches in Automatic Control
ISBN
978-1-61804-004-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
15-20
Publisher name
WSEAS Press
Place of publication
Montreux
Event location
Lanzarote
Event date
May 27, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—