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Proceedings Paper

Fuzzy logic control: a knowledge-based system perspective
Author(s): Piero P. Bonissone; Kenneth H. Chiang
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Paper Abstract

We view fuzzy logic control technology as a high level language in which we can efficiently define and synthesize non-linear controllers for a given process. We contrast fuzzy proportional integral (PI) controllers with conventional PI and 2D sliding mode controllers. Then we compare the development of fuzzy logic controllers (FLC) with that of knowledge-based system (KBS) applications. We decompose the comparison into reasoning tasks (representation, inference, and control) and application tasks (acquisition, development, validation, compilation and deployment). After reviewing the reasoning tasks, we focus on the compilation of fuzzy rule bases into fast access lookup tables. These tables can be used by a simplified run-time engine to determine the FLC's crisp output for a given input. Finally we illustrate the application of FLC technology in a hierarchical architecture to control a complex power plant for heavy vehicles.

Paper Details

Date Published: 22 December 1993
PDF: 13 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165021
Show Author Affiliations
Piero P. Bonissone, GE Corporate Research and Development Ctr. (United States)
Kenneth H. Chiang, GE Corporate Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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