Application of adaptive lattice filters to internal model control

G. Nikolakopoulos, Antonios Tzes, Y. Koveos

    Research output: Contribution to journalArticle

    Abstract

    An adaptive internal model control (IMC) framework is proposed in this article for infinite impulse response systems. The innovation in this study stems from the relaxed assumption that the controller needs to know a priori the system order. To bypass this restriction, a lattice filter identifies the system's order as well as its reflection coefficients. Within the IMC structure, a lattice-based controller is utilized in the forward path in cascade with a low-pass detuning filter. The controller self-configures its structure according to the estimated system order, while the filter's bandwidth increases as the identifier estimates more accurately the system dynamics.

    Original languageEnglish (US)
    Pages (from-to)569-589
    Number of pages21
    JournalInternational Journal of Adaptive Control and Signal Processing
    Volume22
    Issue number6
    DOIs
    StatePublished - Aug 1 2008

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    Controllers
    Low pass filters
    Impulse response
    Dynamical systems
    Innovation
    Bandwidth

    Keywords

    • Adaptive lattice filter
    • Internal model control
    • Jump systems
    • System identification

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Signal Processing

    Cite this

    Application of adaptive lattice filters to internal model control. / Nikolakopoulos, G.; Tzes, Antonios; Koveos, Y.

    In: International Journal of Adaptive Control and Signal Processing, Vol. 22, No. 6, 01.08.2008, p. 569-589.

    Research output: Contribution to journalArticle

    Nikolakopoulos, G. ; Tzes, Antonios ; Koveos, Y. / Application of adaptive lattice filters to internal model control. In: International Journal of Adaptive Control and Signal Processing. 2008 ; Vol. 22, No. 6. pp. 569-589.
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