Comparison of predictive control using Self-Organizing Migrating Algorithm and MATLAB fmincon function
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63521333" target="_blank" >RIV/70883521:28140/18:63521333 - isvavai.cz</a>
Result on the web
<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_02041.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_02041.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/201821002041" target="_blank" >10.1051/matecconf/201821002041</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of predictive control using Self-Organizing Migrating Algorithm and MATLAB fmincon function
Original language description
The article describes the comparison of two approaches to model predictive control applied on a nonlinear system. The model predictive control is based on an objective function minimization. Firstly, the self-organizing migrating algorithm (SOMA) was used to minimize the objective function, secondly, the fmicon function included in the MATLAB optimization toolbox was used for the same. The nonlinear system simulated here is an exothermic semi-batch reactor mathematical model based on a real chemical exothermic process. Also the input data used here to simulate the process were obtained from the same real process. Results obtained by the simulation means were than evaluated using suitable criterion which was defined for that purpose and discussed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATEC Web of Conferences
ISBN
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ISSN
2261-236X
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
"Nestránkováno"
Publisher name
EDP Sciences
Place of publication
Les Ulis
Event location
Majorca
Event date
Jul 14, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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