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Reducing usage of the computational resources by event driven approach to model predictive control Cover

Reducing usage of the computational resources by event driven approach to model predictive control

Journal of Electrical Engineering
Volume 68 (2017): Issue 4 (August 2017)
By: Stefan Misik,  Zdenek Bradac and  Arben Cela  
Open Access
|Sep 2017

Authors

Stefan Misik

stefan.misik@phd.feec.vutbr.cz

Department of Control and Instrumentation, Faculty of Electrical Engineering and Communication, Brno University of Technology,, Brno, Czech Republic

Zdenek Bradac

bradac@feec.vutbr.cz

Department of Control and Instrumentation, Faculty of Electrical Engineering and Communication, Brno University of Technology,, Brno, Czech Republic

Arben Cela

arben.cela@esiee.fr

Department of Computer Science and Telecommunication, Université Paris-Est, ESIEE, Paris, France
DOI: https://doi.org/10.1515/jee-2017-0041 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 290 - 298
Submitted on: Feb 2, 2017
|
Published on: Sep 13, 2017
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
model-based control,
sparse control,
model predictive control,
event-triggered control
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2017 Stefan Misik, Zdenek Bradac, Arben Cela, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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