"978-80-7080-658-6" . "T-POLYNOMIAL IN GENERALIZED PREDICTIVE CONTROL"@en . "Honc, Daniel" . . "T-POLYNOMIAL IN GENERALIZED PREDICTIVE CONTROL" . . . . . . "RIV/00216275:25530/07:00005212!RIV08-MSM-25530___" . "Sborn\u00EDk p\u0159\u00EDsp\u011Bvk\u016F 15. ro\u010Dn\u00EDku konference Technical Computing Prague 2007" . "Briefly theory is given to introduce Model Predictive Control (MPC) concept. Method called Generalized Predictive Control (GPC) published in [1], [2] and [3] is based on Controller Auto-Regressive Integrated Moving-Average (CARIMA) model. Resulting controller has integrating character. In white noise case (without data filtering) the controller is rather sensitive to the measurement noise and model uncertainties. Polynomial C in process model is usually used as a controller parameter (as a filter) to increase controller robustness and it is called as T-polynomial. Different approaches how to design this polynomial coming out from the process model and controller parameters are suggested in the literature [4]. In the paper Kalman estimator is designed and its characteristic polynomial is used as a polynomial T. Prediction abilities of the models with and without data filtering are compared."@en . . "2"^^ . "Humusoft s.r.o." . "Briefly theory is given to introduce Model Predictive Control (MPC) concept. Method called Generalized Predictive Control (GPC) published in [1], [2] and [3] is based on Controller Auto-Regressive Integrated Moving-Average (CARIMA) model. Resulting controller has integrating character. In white noise case (without data filtering) the controller is rather sensitive to the measurement noise and model uncertainties. Polynomial C in process model is usually used as a controller parameter (as a filter) to increase controller robustness and it is called as T-polynomial. Different approaches how to design this polynomial coming out from the process model and controller parameters are suggested in the literature [4]. In the paper Kalman estimator is designed and its characteristic polynomial is used as a polynomial T. Prediction abilities of the models with and without data filtering are compared." . . "Praha" . "T-POLYNOMIAL IN GENERALIZED PREDICTIVE CONTROL"@en . . "V\u00FDznam T-polynomu v prediktivn\u00EDm \u0159\u00EDzen\u00ED"@cs . "[2930ED950A27]" . "T-POLYNOMIAL IN GENERALIZED PREDICTIVE CONTROL" . "Z(MSM0021627505)" . "2"^^ . "V\u00FDznam T-polynomu v prediktivn\u00EDm \u0159\u00EDzen\u00ED"@cs . . . "RIV/00216275:25530/07:00005212" . "11"^^ . "455433" . "2007-11-14+01:00"^^ . "Generalized Predictive Control; CARIMA model; T-polynomial; filtering"@en . . . "Kongresov\u00E9 centrum \u010CVUT, Praha" . . "Du\u0161ek, Franti\u0161ek" . . "25530" . . . "Metoda Generalized Predictive Control je zalo\u017Eena na CARIMA modelu procesu - regul\u00E1tor m\u00E1 integra\u010Dn\u00ED charakter. V p\u0159\u00EDpad\u011B, \u017Ee data nejsou filtrov\u00E1na, je regul\u00E1tor pom\u011Brn\u011B citliv\u00FD na \u0161um m\u011B\u0159en\u00ED, kter\u00FD zp\u016Fsobuje kmit\u00E1n\u00ED ak\u010Dn\u00EDch veli\u010Din a sn\u00ED\u017Een\u00ED kvality regula\u010Dn\u00EDho pochodu. T-polynom v modelu procesu, lze pou\u017E\u00EDt jako n\u00E1vrhov\u00FD parametr - jako filtr dat. V \u010Dl\u00E1nku je navr\u017Een postup v\u00FDpo\u010Dtu polynumu T tak, aby predikce v\u00FDstupu soustavy byly identick\u00E9 s Kalm\u00E1nov\u00FDm pozorovatelem. Metoda je demonstrov\u00E1na na dvou jednoduch\u00FDch p\u0159\u00EDkladech."@cs . "55" . .