A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94682" target="_blank" >RIV/00216305:26220/11:PU94682 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Levenberg-Marquardt Method for Nonlinear Model Predictive Control Design
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGY - Mobile Sensoric Systems and Networks</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals & Proceedings of 22nd DAAAM World Symposiums
ISBN
978-3-901509-83-4
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
861-862
Publisher name
DAAAM International Vienna
Place of publication
TU Wien Karlsplatz 13/311 A-1040 Vienna Austria
Event location
Vienna
Event date
Nov 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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