Implicit self-tuning fuzzy control for nonlinear systems

Kiriakidis Kiriakos, Antonios Tzes

    Research output: Contribution to journalConference article

    Abstract

    The scope of this paper is to design an implicit self-tuning fuzzy controller suitable for a class of non-linear systems. The approach of parametric fuzzy modeling is used to decompose the nonlinear input-output mappings of a physical system in a universe of discourse constituted by linear models. The control objective, given in terms of an optimal control policy, is achieved through linear control techniques applied to each one of these model components. A fuzzy controller infers a composite control action based on the control laws designated for the individual linear models. A direct adaptive algorithm is introduced to identify on-line the control parameters.

    Original languageEnglish (US)
    Pages (from-to)3750-3754
    Number of pages5
    JournalProceedings of the American Control Conference
    Volume5
    StatePublished - Jan 1 1995
    EventProceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
    Duration: Jun 21 1995Jun 23 1995

    Fingerprint

    Fuzzy control
    Nonlinear systems
    Tuning
    Controllers
    Adaptive algorithms
    Composite materials

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Implicit self-tuning fuzzy control for nonlinear systems. / Kiriakos, Kiriakidis; Tzes, Antonios.

    In: Proceedings of the American Control Conference, Vol. 5, 01.01.1995, p. 3750-3754.

    Research output: Contribution to journalConference article

    Kiriakos, Kiriakidis ; Tzes, Antonios. / Implicit self-tuning fuzzy control for nonlinear systems. In: Proceedings of the American Control Conference. 1995 ; Vol. 5. pp. 3750-3754.
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