CONTROL OF PH NEUTRALIZATION PLANT USING MODEL PREDICTIVE CONTROL AND 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%2F07%3A63505839" target="_blank" >RIV/70883521:28140/07:63505839 - 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
CONTROL OF PH NEUTRALIZATION PLANT USING MODEL PREDICTIVE CONTROL AND LOCAL MODEL NETWORK
Original language description
The paper addresses the application of Local Model Networks (LMN) in the field of identification and control of nonlinear systems. LMN are networks which are composed of locally accurate models, where output is interpolated by smooth locally active validity functions. This divide-and-conquer strategy is a general way of coping with complex systems. The architecture of LMN benefits from being able to incorporate a priori knowledge and conventional system identification methodology. The LMN structure alsogives transparent and simple representation of the nonlinear system. In an initial off-line identification phase the structure and parameters of local model have to be identified. The obtained global model is then used for prediction of future outputs in Model Predictive Control (MPC) of the pH neutralization plant.
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
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)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding 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
Innsbruck
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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