Model Predictive Control Based on ARX Models

Authors

Junichiro Kon, Yoshiyuki Yamashita

Year

2010

Conference Paper

Algorithm

ARX Model Predictive Control

Source

ICCAS

Identifiers

DOI 10.1109/ICCAS.2010.5669662

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.

Summary¶

Proposes a linear MPC formulation based on incremental ARX models, including feedforward treatment for unmeasured disturbances. The contribution is a compact process-control method that connects data-driven linear models to standard constrained predictive control.