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Lecture Notes in Computer Science, pages 464-473
Preliminary Experiments with an Interval Model-Predictive-Control Solver
Publication type: Book Chapter
Publication date: 2016-03-31
Journal:
Lecture Notes in Computer Science
Q2
SJR: 0.606
CiteScore: 2.6
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
Model-Predictive Control (MPC) is a popular advanced control technique, known for its robustness and simplicity in taking control constraints into account. In recent years, the interest grows in applying interval methods to compute MPC. The paper applies interval methods in a simple case. Numerical results for a benchmark problem are presented.
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Kubica B. J. Preliminary Experiments with an Interval Model-Predictive-Control Solver // Lecture Notes in Computer Science. 2016. pp. 464-473.
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Kubica B. J. Preliminary Experiments with an Interval Model-Predictive-Control Solver // Lecture Notes in Computer Science. 2016. pp. 464-473.
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TY - GENERIC
DO - 10.1007/978-3-319-32152-3_43
UR - https://doi.org/10.1007/978-3-319-32152-3_43
TI - Preliminary Experiments with an Interval Model-Predictive-Control Solver
T2 - Lecture Notes in Computer Science
AU - Kubica, Bartłomiej Jacek
PY - 2016
DA - 2016/03/31
PB - Springer Nature
SP - 464-473
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
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@incollection{2016_Kubica,
author = {Bartłomiej Jacek Kubica},
title = {Preliminary Experiments with an Interval Model-Predictive-Control Solver},
publisher = {Springer Nature},
year = {2016},
pages = {464--473},
month = {mar}
}