Complexity Reduction of Explicit Model Predictive Control via Separation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00200805" target="_blank" >RIV/68407700:21230/13:00200805 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.automatica.2013.02.018" target="_blank" >http://dx.doi.org/10.1016/j.automatica.2013.02.018</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.automatica.2013.02.018" target="_blank" >10.1016/j.automatica.2013.02.018</a>
Alternative languages
Result language
angličtina
Original language name
Complexity Reduction of Explicit Model Predictive Control via Separation
Original language description
The problem of reducing complexity of explicit MPC feedback laws for linear systems is considered. We propose to simplify controllers defined by continuous Piecewise Affine (PWA) functions by employing separating functions. If a state resides in a regionwhere the optimal control action attains a saturated value, the optimal control move is determined from the sign of the separator. Thus, instead of storing all regions, only the unconstrained regions and the separator are needed. We propose several approaches to construct separators with different efficacy and properties.
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
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Automatica
ISSN
0005-1098
e-ISSN
—
Volume of the periodical
49
Issue of the periodical within the volume
6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
1776-1781
UT code for WoS article
000319540500026
EID of the result in the Scopus database
—