Detail publikace

A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design

DOKOUPIL, J. PIVOŇKA, P. BURLAK, V.

Originální název

A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article deals with a nonlinear model predictive control design (NMPC) which applies numerical optimization using the Levenberg-Marquardt method in iterative batch mode adaptation. The proposed approach enables asymptotic tracking of a reference trajectory by a prediction of a general nonlinear model. Investigation of the properties of the NMPC is performed using the Wiener nonlinear model which is suitable to describe an unknown process dynamics. The work therefore also seeks to formulate the optimal prediction of Wiener model output in state space representation.

Klíčová slova

nonlinear model predictive control, Wiener model, Levenberg-marquardt method, innovative state space model

Autoři

DOKOUPIL, J.; PIVOŇKA, P.; BURLAK, V.

Rok RIV

2011

Vydáno

22. 11. 2011

Nakladatel

DAAAM International Vienna

Místo

TU Wien Karlsplatz 13/311 A-1040 Vienna Austria

ISBN

978-3-901509-83-4

Kniha

Annals & Proceedings of 22nd DAAAM World Symposiums

Edice

2011

Číslo edice

1

Strany od

861

Strany do

862

Strany počet

2

BibTex

@inproceedings{BUT74597,
  author="Jakub {Dokoupil} and Petr {Pivoňka} and Vladimír {Burlak}",
  title="A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design",
  booktitle="Annals & Proceedings of 22nd DAAAM World Symposiums",
  year="2011",
  series="2011",
  number="1",
  pages="861--862",
  publisher="DAAAM International Vienna",
  address="TU Wien
Karlsplatz 13/311
A-1040 Vienna Austria",
  isbn="978-3-901509-83-4"
}