Input-output linearization of a pilot pressure plant using a dynamic neural network model

V. M. Becerra, F. Garces, J. M. F. Calado, P. M. Silva

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The parameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.
    Original languageEnglish
    Title of host publicationArtificial intelligence and applications
    Subtitle of host publication(AIA 2003)
    EditorsM. H. Hamza
    Place of PublicationCalgary
    PublisherACTA Press
    Publication statusPublished - 2003
    EventIASTED International Conference on Artificial Intelligence and Applications (AIA) - Benalmadena, Spain
    Duration: 8 Sep 200310 Sep 2003

    Conference

    ConferenceIASTED International Conference on Artificial Intelligence and Applications (AIA)
    CountrySpain
    CityBenalmadena
    Period8/09/0310/09/03

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