Design and Analysis of Model based Predictive Controllers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00107697" target="_blank" >RIV/68407700:21230/05:00107697 - 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

Design and Analysis of Model based Predictive Controllers

Original language description

In this contribution we present application of model-based predictive controller based on mixture distribution, i.e. a set of parallel models, to CSTR process. This process is highly non-linear. Presented MPC is based on a mixture of linearized models inseveral operating points parameterized by their probabilities estimated on-line. Provided that the operating point of the process lies within the given set defined by convex envelope of the operating points presented MPC ensures "soft switching" betweenthe individual models. The on-line estimation of model probabilities is done by a set of Kalman filters in the normalized form. The good performance of algorithm for model probability estimation is very important part of presented MPC algorithm becausethe resulting MPC is parameterized by them.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Workshop 2005

ISBN

80-01-03201-9

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

ČVUT

Place of publication

Praha

Event location

Praha

Event date

Mar 21, 2005

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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