Parallel architecture for a multiple-input fuzzy logic controller

Marian S. Stachowicz; Janos Grantner; Larry L. Kinney

doi:10.1117/12.56880

1 March 1992 Parallel architecture for a multiple-input fuzzy logic controller

Marian S. Stachowicz, Janos Grantner, Larry L. Kinney

Proceedings Volume 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems; (1992) https://doi.org/10.1117/12.56880
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A hardware accelerator that performs fuzzy learning, fuzzy inference, and defuzzification strategy computations is presented. The hardware is based on two-valued logic. A universal space of 25 elements with five levels each is supported. To achieve a high processing rate for real-time applications, the basic units of the accelerator are connected in a four-level pipeline. The accelerator can receive two parallel fuzzy data as inputs. A flag will be set if the fuzzy model R(u,w), constructed in a learning process, exhibits the property as follows: for all (u,w) belonging to the set UXW, R(u,w) equals 1. At a clock rate of 20 MHz, the accelerator can perform more than 1,400,000 fuzzy logic inferences per second on multi- dimensional fuzzy data.

Citation Download Citation

Marian S. Stachowicz, Janos Grantner, and Larry L. Kinney "Parallel architecture for a multiple-input fuzzy logic controller", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); https://doi.org/10.1117/12.56880

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