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    Fractional order model identification: Computational optimization

    Access Status
    Fulltext not available
    Authors
    Guevara, E.
    Meneses, H.
    Arrieta, O.
    Vilanova, R.
    Visioli, A.
    Padula, Fabrizio
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Guevara, E. and Meneses, H. and Arrieta, O. and Vilanova, R. and Visioli, A. and Padula, F. 2015. Fractional order model identification: Computational optimization.
    Source Title
    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
    DOI
    10.1109/ETFA.2015.7301630
    ISBN
    9781467379298
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/52789
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 IEEE.This paper deals with the identification of fractional models with one fractional parameter. This kind of models are capable to represent an extensive range of dynamics, including overdamped and oscillatory behaviors. The identification algorithm consists in applying an optimization function, starting from an initial point, that allows the program to calculate a very representative model of the process. The results demonstrate the usefulness and robustness of the tool, which can be employed to identify integer and fractional systems in an easy way and this can be later exploited for further studies, for example the development of tuning rules.

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