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DOKOUPIL, J.; PIVOŇKA, P.; BURLAK, V.
Original Title
A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
nonlinear model predictive control, Wiener model, Levenberg-marquardt method, innovative state space model
Key words in English
Authors
RIV year
2012
Released
22.11.2011
Publisher
DAAAM International Vienna
Location
TU Wien Karlsplatz 13/311 A-1040 Vienna Austria
ISBN
978-3-901509-83-4
Book
Annals & Proceedings of 22nd DAAAM World Symposiums
Edition
2011
Pages from
861
Pages to
862
Pages count
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" }