COMPUTER-AIDED-DESIGN OF FUZZY-SYSTEMS BASED ON GENERIC VHDL SPECIFICATIONS

Fuzzy systems implemented in hardware can operate with much higher per formance than software implementations on standard microcontrollers. I n this paper, three types of fuzzy systems and related hardware archit ectures are discussed: standard fuzzy controllers, FuNe I fuzzy system s, and fuzzy classifiers based on a neural network structure. Two comp uter-aided design (CAD) packages for automatic hardware synthesis of s tandard fuzzy controllers are presented: a hard-wired implementation o f a complete fuzzy system on a single or multiple field programmable g ate arrays (FPGA) and a modular toolbox called fuzzyCAD for synthesis of reprogrammable fuzzy controllers with architectures due to specifie d designer constraints. In the fuzzyCAD system, an efficient design me thodology has been implemented which covers a large design space in te rms of signal representations and component architectures as well as s ystem architectures. Very highspeed integrated-circuits hardware-descr iption language (VHDL) descriptions and usage of powerful synthesis to ols allow different technologies to be targeted easily and efficiently . In the last part of this paper, properties and hardware realizations of fuzzy classifiers based on a neural network are introduced. Finall y, future perspectives and possible enhancements of the existing toolk its are outlined.