Evaluation of experiment designs for MIMO system identification by model predictive control

A4 Conference proceedings

Internal Authors/Editors

Publication Details

List of Authors: Kurt E. Häggblom
Place: Piscataway, NJ
Publication year: 2015
Publisher: IEEE
Book title: 2015 IEEE Conference on Control Applications (CCA)
Title of series: IEEE International Conference on Control Applications
Number in series: 24
Start page: 169
End page: 174
ISBN: 978-1-4799-7787-1


Ten different experiment designs for control-oriented MIMO identification are evaluated by the perfor­mance of model predictive control (MPC) using the identified models for control of the true system, which is a moderately ill-conditioned 3x3 system. The evaluated designs are some standard designs as well as advanced designs aimed at ensuring integral controllability requirements. Different types of input perturbations are also considered. Control performance in terms of output error and control activity measures is determined for various choices of sampling time and input constraints. The evaluation clearly shows that for this application, experiment designs where the directionality of the system is taken into account produce better models for control design than more standard methods.


Modeling, Model predictive control, system identification


Last updated on 2020-28-03 at 05:17