Self-Tuning Predictive Control of Nonlinear Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63505806" target="_blank" >RIV/70883521:28140/07:63505806 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Self-Tuning Predictive Control of Nonlinear Systems
Original language description
This paper investigates usability of model predictive control (MPC) approach in the area of control of nonlinear systems. A self-tuning predictive controller is introduced and investigated. The controller integrates online identification of an ARX modelof a controlled system and a predictive control synthesis on base of the identified model. Various control requirements can be fulfilled by tuning controller?s parameters. Both simulation and real-time testing have been performed and are discussed in thepaper. The simulation testing was performed in the MATLAB / Simulink environment while the real-time testing has been carried out by the control of nonlinear laboratory models.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 26th IASTED International Conference on Modelling, Identification and Control
ISBN
978-0-88986-633-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IASTED
Place of publication
Calgary
Event location
Innsbruck
Event date
Jan 1, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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