Publication detail

Kalman Filtering and Generalized Predictive Control

Authors: Honc Daniel | Haber Robert | Havlíček Libor

Year: 2008

Type of publication: kapitola v odborné knize

Name of source: Teorie dopravních systémů (soubor odborných statí)

Publisher name: Tribun EU

Place: Brno

Page from-to: 133-138

Titles:

Language	Name	Abstract	Keywords
cze	Kalmánův filtr a prediktivní řízení	Návrh regulátoru Generalized Predictive Control je založen na CARIMA modelu procesu. Polynom C je často uvažován jako parametr regulátoru (jako filtr dat) pro zvýšení robustnosti regulátoru. Nejprve je navržen Kalmánův filtr a jeho charakteristický polynom je použit v modelu procesu. Je uveden simulační experiment se soustavou druhého řádu.	prediktivní regulátor; Kalmánův filtr; filtrace dat
eng	Kalman Filtering and Generalized Predictive Control	Controller design method Generalized Predictive Control is based on Controller Auto-Regressive Integrated Moving-Average (CARIMA) process model. Noise polynomial is usually used as a controller parameter (as a data filter) to increase controller robustness and it is called T-polynomial. Different approaches how to design this polynomial coming out from the process model and controller parameters are referred in literature. In the paper steady-state Kalman estimator is computed and its characteristic polynomial is used as a Tpolynomial. Suggested method is demonstrated on simulated control experiments with second order process.	predictive controller; Kalman estimator; data filtration

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