XFVHDL: a tool for the synthesis of fuzzy logic controllers
Proceedings of the conference on Design, automation and test in Europe
Hardware implementation of intelligent systems
Hardware implementation of intelligent systems
AFAN: Tool for Optimizing Fuzzy Controllers
IEEE Micro
Design and Implementation of GA-based Fuzzy System on FPGA CHIP
Cybernetics and Systems
Modelling and implementation of fuzzy systems based on VHDL
International Journal of Approximate Reasoning
VHDL high level modelling and implementation of fuzzy systems
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Optimised PWL recursive approximation and its application to neuro-fuzzy systems
Mathematical and Computer Modelling: An International Journal
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In this paper, three types of fuzzy systems and related hardware architectures are discussed: standard fuzzy controllers, FuNe I fuzzy systems, and fuzzy classifiers based on a neural network structure. Two computer-aided design (CAD) packages for automatic hardware synthesis of standard fuzzy controllers are presented: a hard-wired implementation of a complete fuzzy system on a single or multiple field programmable gate arrays (FPGA) and a modular toolbox called fuzzyCAD for synthesis of reprogrammable fuzzy controllers with architectures due to specified designer constraints. In the fuzzyCAD system, an efficient design methodology has been implemented which covers a large design space in terms of signal representations and component architectures as well as system architectures. Very high speed integrated-circuits hardware-description language (VHDL) descriptions and usage of powerful synthesis tools allow different technologies to be targeted easily and efficiently. Properties and hardware realizations of fuzzy classifiers based on a neural network are introduced. Finally, future perspectives and possible enhancements of the existing toolkits are outlined