MPC-Relevant Prediction-Error Identification

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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 publicationAmerican Control Conference 2007
PublisherIEEE
Publication date2007
ISBN (Print)1-4244-0988-8
DOIs
Publication statusPublished - 2007
EventAmerican Control Conference 2007 - New York City, United States
Duration: 11 Jul 200713 Jul 2007
http://a2c2.org/conferences/acc2007/

Conference

ConferenceAmerican Control Conference 2007
CountryUnited States
CityNew York City
Period11/07/200713/07/2007
Internet address

Bibliographical note

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