Adaptive Nonlinear Model Predictive Control Based on Wiener Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94689" target="_blank" >RIV/00216305:26220/11:PU94689 - 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
Adaptive Nonlinear Model Predictive Control Based on Wiener Model
Original language description
This article deals with a nonlinear model predictive control design (NMPC) with closed loop identification 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 adaptive NMPC is performed using the Wiener nonlinear model which is considered to be suitable for representing a wide range of nonlinear process behavior. Although it requires little more effort in development than a standard pseudolinear model from the output error class, it offers better approximation of systems with highly nonlinear gains. The work therefore also seeks to formulate the optimal prediction of Wiener model output in both state space and input-output representation.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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