<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

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

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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...

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

Published Online: Sep 13, 2017

Page range: 290 - 298

Received: Feb 02, 2017

DOI: https://doi.org/10.1515/jee-2017-0041

Keywords
model-based control, sparse control, model predictive control, event-triggered control

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Sep 13, 2017

Page range: 290 - 298

Received: Feb 02, 2017

DOI: https://doi.org/10.1515/jee-2017-0041

Keywordsmodel-based control, sparse control, model predictive control, event-triggered control

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
model-based control, sparse control, model predictive control, event-triggered control