Fuzzy logic control-a taxonomy of demonstrated benefits

199559 citationsJournal Article

Authors

D. E. Thomas · University of Wisconsin–Madison

Brian Armstrong-Hélouvry · University of Wisconsin–Madison

Abstract

The motivations for fuzzy logic control (FLC) are illuminated by exploring the benefits obtained by application designers through its use. A context for this exploration is set with a discussion of the characteristics of control policies and of the general attributes of FLC. Each benefit is described by reference to reported FLC implementations in which the benefit is demonstrated. Based on common features of the example applications, application preconditions for obtaining each benefit are stated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

Topics & Keywords

Fuzzy Logic and Control Systems Neural Networks and Applications Advanced Control Systems Optimization

Publication Details

Published in: Proceedings of the IEEE

Volume 83, Issue 3, pp. 407-421

DOI: 10.1109/5.364487

Field-Weighted Citation Impact: 6.25

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Fuzzy logic control-a taxonomy of demonstrated benefits

Authors

Abstract

Topics & Keywords

Publication Details