Title :
Model predictive control based on ARX models
Author :
Kon, Junichiro ; Yamashita, Yoshiyuki
Author_Institution :
Dept. of Appl. Chem., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
This study proposes linear model predictive control (MPC) based on ARX models in incremental form. Feedforward action for external disturbance can eliminate the effect of unmeasured disturbance, which is popular in process industries. Simulation example illustrates the robust performance of the proposed approach.
Keywords :
feedforward; linear systems; predictive control; ARX models; feedforward action; linear model predictive control; Equations; Mathematical model; Prediction algorithms; Predictive models; Process control; Trajectory; Transfer functions; ARX Model; Linear Model; MPC; Modeling; PCR; Process Control; Unmeasured Disturbance;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
