AFAN: Tool for Optimizing Fuzzy Controllers

Authors:
R. González;A. Torralba;L. g. Franquelo
Affiliations:
-;-;-
Venue:
IEEE Micro
Year:
1997

Citing 3
Cited 0

Neural computing: theory and practice

Neural computing: theory and practice
Computer-aided design of fuzzy systems based on generic VHDL specifications

IEEE Transactions on Fuzzy Systems
A silicon compiler of analog fuzzy controllers: from behavioral specifications to layout

IEEE Transactions on Fuzzy Systems

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Abstract

This paper presents a tool for hardware synthesis of neural and fuzzy systems. The proposed tool, called AFAN, pays special attention to the architecture of the controller. AFAN deals with different kinds of hardware parallelism and with the interconnection between the internal blocks. A set of fully worked examples are provided in order to show the solutions provided by AFAN with different specifications.