Innovative architectural and theoretical considerations yield efficient fuzzy logic controller VLSI design

Paul Basehore; Joseph Thomas Yestrebsky

doi:10.1117/12.44850

1 August 1991 Innovative architectural and theoretical considerations yield efficient fuzzy logic controller VLSI design

Paul Basehore, Joseph Thomas Yestrebsky

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Proceedings Volume 1470, Data Structures and Target Classification; (1991) https://doi.org/10.1117/12.44850
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

An efficient general-purpose fuzzy logic inference engine for real-time commercial embedded control and signal processing applications is reported. The monolithically implemented engine is capable of processing up to 64 rules, with up to 16 fuzzy membership functions per rule. Novel VLSI implementation is achieved through consideration of alternative computational techniques for fuzzy rule processing. Specifically, an embedded digital neural network is employed to rapidly compute minima across rule membership functions, achieving a computation rate of greater than 20 million fuzzy logical inferences per second. Additional implementation efficiency is achieved through algorithmic methods of membership function construction which are logically consistent with the theory of fuzzy sets. A proprietary method for constructing membership function values based on only the linear distance between an input and the user-defined membership function center value provides a highly efficient mans for constructing membership functions.

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Paul Basehore and Joseph Thomas Yestrebsky "Innovative architectural and theoretical considerations yield efficient fuzzy logic controller VLSI design", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); https://doi.org/10.1117/12.44850

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KEYWORDS

Fuzzy logic

Very large scale integration

Neural networks

Sensors

Process control

Bismuth

Data processing

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