Optimization in Model Predictive Control Using Evolutionary-Gradient Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873816" target="_blank" >RIV/70883521:28140/15:43873816 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimization in Model Predictive Control Using Evolutionary-Gradient Algorithm
Original language description
The term predictive control designates a class of control methods which are suitable for control of various kinds of systems. The basic principle of model based predictive control (MPC) is the calculating of the future behaviour of a system by means of amodel. The best control values are determined by solving of an optimization problem which must be solved in each sampling period. One of the major advantages of MPC is its ability to take into account constraints within a controller. However, these constraints may cause that the optimization problem is computationally complex. There are many algorithms which may be used for solving this problem. The crucial issue of optimization is computational time. Hence, there must be applied algorithms which are computationally effective. This contribution deals with the optimization using a mixed evolutionary-gradient algorithm.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 3rd International Conference on Applied, Numerical and Computational Mathematics
ISBN
978-1-61804-328-3
ISSN
2227-4588
e-ISSN
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Number of pages
7
Pages from-to
35-41
Publisher name
WSEAS
Place of publication
budapešť
Event location
Sliema
Event date
Aug 17, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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