Hyperbolic approach to fuzzy control is optimal

Hung T. Nguyen; Vladik Kreinovich; Michael Margaliot; Gideon Langholtz

doi:10.1109/FUZZ.2001.1009098

Hyperbolic approach to fuzzy control is optimal

Hung T. Nguyen
, Vladik Kreinovich
, Michael Margaliot
, Gideon Langholtz

School of Electrical Engineering

New Mexico State University
University of Texas at El Paso
Tel Aviv University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

In a series of papers and a book, M. Margaliot and G. Langholz proposed a hyperbolic approach to fuzzy control, in which they apply a certain hyperbolic non-linear transformation to the original variables. In this paper, we consider all possible non-linear transformations of this type and show that this hyperbolic transformation is indeed optimal.

Original language	English
Article number	88
Pages (from-to)	888-891
Number of pages	4
Journal	IEEE International Conference on Fuzzy Systems
Volume	2
DOIs	https://doi.org/10.1109/FUZZ.2001.1009098
State	Published - 2001

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abstract = "In a series of papers and a book, M. Margaliot and G. Langholz proposed a hyperbolic approach to fuzzy control, in which they apply a certain hyperbolic non-linear transformation to the original variables. In this paper, we consider all possible non-linear transformations of this type and show that this hyperbolic transformation is indeed optimal.",

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AB - In a series of papers and a book, M. Margaliot and G. Langholz proposed a hyperbolic approach to fuzzy control, in which they apply a certain hyperbolic non-linear transformation to the original variables. In this paper, we consider all possible non-linear transformations of this type and show that this hyperbolic transformation is indeed optimal.

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Hyperbolic approach to fuzzy control is optimal

Abstract

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