Detail publikace

Reducing Usage of the Computational Resources by Event Driven Approach to Model Predictive Control

Originální název

Reducing Usage of the Computational Resources by Event Driven Approach to Model Predictive Control

Anglický název

Reducing Usage of the Computational Resources by Event Driven Approach to Model Predictive Control

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@article{BUT138170,
  author="Štefan {Mišík} and Zdeněk {Bradáč} and Arben {Cela}",
  title="Reducing Usage of the Computational Resources by Event Driven Approach to Model Predictive Control",
  annote="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.",
  address="Journal of Electrical Engineering",
  chapter="138170",
  doi="10.1515/jee-2017-0041",
  howpublished="online",
  institution="Journal of Electrical Engineering",
  number="4",
  volume="68",
  year="2017",
  month="september",
  pages="290--298",
  publisher="Journal of Electrical Engineering",
  type="journal article in Web of Science"
}