Multiple Model Predictive Control of a Styrene Polymerization Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43868554" target="_blank" >RIV/70883521:28140/13:43868554 - 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
Multiple Model Predictive Control of a Styrene Polymerization Process
Original language description
In this paper, multiple piecewise linearizations of a nonlinear process in different operating points are used within a Kalman filter bank which computes the conditional probabilities of various hypotheses that are modeled by the filters. State estimatesprovided by the Kalman Filters and local model parameters are weighted using conditional probabilities and then used within the predictive con-trol framework. The proposed strategy is tested on the complex model of styrene polymerization process.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
CI - Industrial chemistry and chemical engineering
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
ISBN
978-3-642-33226-5
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
143-152
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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