Journal of Intelligent and Fuzzy Systems

1994

DOI: 10.3233/ifs-1994-2303

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Fuzzy Inference for Variable Structure Control

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,

Abdollah Homaifar

²

,

B. Sayyarrodsari

³

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Cited by 3 publications

References 12 publications

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Fuzzy controller for robot arm trajectory

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1994

Information Sciences - Applications

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No abstract

Fuzzy controller for robot arm trajectory

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²

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³

1994

Information Sciences - Applications

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No abstract

A highly interpretable form of Sugeno inference systems

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1999

IEEE Trans. Fuzzy Syst.

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We present a new form of fuzzy inference systems (FIS) that is highly interpretable and easy to manipulate. The new form is based on a judicious choice of membership functions that have strong locality and differentiability properties and on a modification of the Sugeno and generalized Sugeno forms of the consequent polynomials as to make them rule centered. Under these conditions, the coefficients in the consequent polynomials can be exactly interpreted as Taylor series coefficients. Besides the intuitive interpretation thus bestowed on the coefficients, we show that the new form allows easy design, manipulation, testing, training, and combination of the resulting fuzzy inference systems. The rudiments of a calculus of fuzzy inference systems are then introduced.Index Terms-Fuzzy systems, piecewise polynomial approximation, spline functions.

Fuzzy genetic controllers for the autonomous rendezvous and docking problem

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et al. 1995

Proceedings of the 1995 ACM Symposium on Applied Computing - SAC '95

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No abstract

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