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

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    2 Citations (Scopus)

    Abstract

    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.
    Original languageUndefined/Unknown
    Title of host publication2015 IEEE Conference on Control Applications (CCA)
    PublisherIEEE
    Pages169–174
    ISBN (Print)978-1-4799-7787-1
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA4 Article in a conference publication
    EventIEEE Conference on Control Applications - 2015 IEEE Conference on Control Applications (CCA). Part of 2015 IEEE Multi-Conference on Systems and Control (MSC).
    Duration: 21 Sep 201523 Sep 2015

    Conference

    ConferenceIEEE Conference on Control Applications
    Period21/09/1523/09/15

    Keywords

    • Model predictive control
    • Modeling
    • system identification

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