Continuous-Discrete Time Prediction-Error Identification Relevant for Linear Model Predictive Control

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Abstract

A Prediction-error-method tailored for model based predictive control is presented. The prediction-error method studied are based on predictions using the Kalman filter and Kalman predictors for a linear discrete-time stochastic state space model. The linear discrete-time stochastic state space model is realized from a continuous-discrete-time linear stochastic system specified using transfer functions with time-delays. It is argued that the prediction-error criterion should be selected such that it is compatible with the objective function of the predictive controller in which the model is to be applied. The suitability of the proposed prediction error-method for predictive control is demonstrated for dual composition control of a simulated binary distillation column.
Original languageEnglish
Title of host publicationProceedings of the European Control Conference (ECC '07 )
PublisherIEEE
Publication date2007
Pages4752-4758
ISBN (Electronic)978-3-9524173-8-6
Publication statusPublished - 2007
EventEuropean Control Conference 2007 - Kos, Greece
Duration: 2 Jul 20075 Jul 2007
http://ecc07.ntua.gr/

Conference

ConferenceEuropean Control Conference 2007
Country/TerritoryGreece
CityKos
Period02/07/200705/07/2007
Internet address

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