Model reference control using CMAC neural networks

Alpaslan Duysak, Abdurrahman Unsal, Jeffrey L. Schiano

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

    1 Scopus citations


    This paper demonstrates the use of CMAC neural networks in real world applications for the system identification and control of nonlinear systems. As a testbed application, the problem of regulating fluid height in a column is considered. A dynamic nonlinear model of the process is obtained using fundamental physical laws and by training a CMAC neural network using experimental input-output data. The CMAC model is used to implement a model reference control system. Successful experimental results are obtained in the presence of disturbances.

    Original languageEnglish (US)
    Title of host publicationArtificial Neural Networks - ICANN 2007 - 17th International Conference, Proceedings
    PublisherSpringer Verlag
    Number of pages10
    EditionPART 2
    ISBN (Print)9783540746935
    StatePublished - 2007
    Event17th International Conference on Artificial Neural Networks, ICANN 2007 - Porto, Portugal
    Duration: Sep 9 2007Sep 13 2007

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume4669 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other17th International Conference on Artificial Neural Networks, ICANN 2007

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)


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