"[5215FD3DCFBD]" . . "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." . "133-138" . "25530" . "RIV/00216275:25530/08:00005217!RIV08-MSM-25530___" . "KALMAN FILTERING AND GENERALIZED PREDICTIVE CONTROL"@en . "Havl\u00ED\u010Dek, Libor" . . "Kalm\u00E1n\u016Fv filtr a prediktivn\u00ED \u0159\u00EDzen\u00ED"@cs . "Kalm\u00E1n\u016Fv filtr a prediktivn\u00ED \u0159\u00EDzen\u00ED"@cs . . . "3"^^ . . "predictive controller; Kalman estimator; data filtration"@en . "Tribun EU" . . . "KALMAN FILTERING AND GENERALIZED PREDICTIVE CONTROL" . "Teorie dopravn\u00EDch syst\u00E9m\u016F (soubor odborn\u00FDch stat\u00ED)" . . . . . "Haber, Robert" . "2"^^ . . "6"^^ . . "RIV/00216275:25530/08:00005217" . "978-80-7399-347-4" . "Honc, Daniel" . "KALMAN FILTERING AND GENERALIZED PREDICTIVE CONTROL" . "374462" . "N\u00E1vrh regul\u00E1toru Generalized Predictive Control je zalo\u017Een na CARIMA modelu procesu. Polynom C je \u010Dasto uva\u017Eov\u00E1n jako parametr regul\u00E1toru (jako filtr dat) pro zv\u00FD\u0161en\u00ED robustnosti regul\u00E1toru. Nejprve je navr\u017Een Kalm\u00E1n\u016Fv filtr a jeho charakteristick\u00FD polynom je pou\u017Eit v modelu procesu. Je uveden simula\u010Dn\u00ED experiment se soustavou druh\u00E9ho \u0159\u00E1du."@cs . . "KALMAN FILTERING AND GENERALIZED PREDICTIVE CONTROL"@en . "Z(MSM0021627505)" . "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."@en . . "Brno" . .