Evaluation of experiment designs for MIMO identification by cross-validation

Kurt Erik Häggblom, Sigurd Skogestad (Editor)

    Research output: Contribution to journalArticleScientificpeer-review

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    Abstract

    Guidelines for design of input perturbations for identification of multivariable systems are given. The focus is on control-oriented identification, but for comparison some general-purpose designs are also considered. The information needed for design of input perturbations such as double rectan­gular pulses, pseudo-random binary sequences, and multi-sinusoidal signals can be obtained from a simple step test. Such a test also gives information about the directiona­lity properties of the system. This information can be used to design control-oriented experiments as shown in the paper. The design techniques are illustrated by realistic simulations of a moderately ill-conditioned 3x3 system. The identified models, and thus the experiment designs, are evaluated by cross-validations. Accord­ing to this evaluation, the directional input designs are superior to standard input designs for identification of MIMO systems.
    Original languageUndefined/Unknown
    Pages (from-to)308–313
    JournalIFAC papers online
    Volume49
    Issue number7
    DOIs
    Publication statusPublished - 2016
    MoE publication typeA1 Journal article-refereed

    Keywords

    • System identification
    • multivariable systems
    • ill-conditioned systems
    • Control-oriented models
    • Experiment design
    • Input signals
    • Validation

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