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

Stefan Misik; Zdenek Bradac; Arben Cela

doi:10.1515/jee-2017-0041

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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

Abstract

This paper deals with a real-time and optimal control of dynamic systems while also considers the constraints which these systems might be subject to. Main objective of this work is to propose a simple modification of the existing Model Predictive Control approach to better suit needs of computational resource-constrained real-time systems. An example using model of a mechanical system is presented and the performance of the proposed method is evaluated in a simulated environment.

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Articles in this issue

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.

Volume 68 (2017): Issue 4 (August 2017)