Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control

Jianjun Zhou, Finn Conrad

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    191 Downloads (Pure)

    Abstract

    The Generalized Predictive Controller (GPC) is extended to the systems with a generalized linear model structure which contains a number of choices of linear model structures. The Recursive Prediction Error Method (RPEM) is used to estimate the unknown parameters of the linear model structures to constitute a GPC self-tuner. Different linear model structures commonly used are compared and evaluated by applying them to the extended GPC self-tuner as well as to the special cases of the GPC, the GMV and MV self-tuners. The simulation results show how the choice of model structure affects the input-output behaviour of self-tuning controllers.
    Original languageEnglish
    Title of host publicationAmerican Control Conference
    Place of PublicationPittsburgh, PA, USA
    PublisherIEEE
    Publication date1989
    Pages2200-2205
    Publication statusPublished - 1989
    Event1989 American Control Conference - Pittsburgh, PA, United States
    Duration: 21 Jun 198923 Jun 1989

    Conference

    Conference1989 American Control Conference
    CountryUnited States
    CityPittsburgh, PA
    Period21/06/198923/06/1989

    Bibliographical note

    Copyright: 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Fingerprint Dive into the research topics of 'Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control'. Together they form a unique fingerprint.

    Cite this