Implicit self-tuning fuzzy control for nonlinear systems

Kiriakidis Kiriakos, Anthony Tzes

Research output: Contribution to journalConference articlepeer-review


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
StatePublished - 1995
EventProceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
Duration: Jun 21 1995Jun 23 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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