Computer-aided design of fuzzy systems based on generic VHDL specifications

| Fuzzy systems implemented in hardware can operate with much higher performance than software implementations on standard microcontrollers. In this contribution three types of fuzzy systems and related hardware architectures are discussed: standard fuzzy controllers, FuNe I fuzzy systems, and fuzzy classi ers 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 speci ed designer constraints. In the fuzzyCAD system, an e cient design methodology has been implemented, which covers a large design space in terms of signal representations and component architectures as well as system architectures. VHDL descriptions and usage of powerful synthesis tools allow di erent technologies easily and e ciently to be targeted. In the last part of this contribution, properties and hardware realizations of fuzzy classi ers based on a neural network are introduced. Finally future perspectives and possible enhancements of the existing toolkits are outlined. Keywords| Fuzzy systems, fuzzy hardware, fuzzy controller, fuzzy classi er, generic VHDL fuzzy modules, fuzzyCAD, neuro-fuzzy systems, FPGA designs.