Modelling and Predictive Control of an Evaporator using Local Model Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508847" target="_blank" >RIV/70883521:28140/10:63508847 - 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
Modelling and Predictive Control of an Evaporator using Local Model Network
Original language description
The application of fuzzy clustering and local models for modelling and control of an evaporator is studied in the paper. The main idea is based on development of the local linear models for the whole operating range of the controlled process. The numberof local models is iteratively increased until the modelling performance is reached. The position of the local model is obtained via clustering and parameters of the local models are identified using local least squares method. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. The parameters for the GPC controller are computed at each sampling interval from the linearization of LMN. The proposed identification and control method is illustrated by the simulation study on the evaporator.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP102%2F09%2FP243" target="_blank" >GP102/09/P243: Nonlinear System Predictive Control using Local Model Networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů