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Trabajo presentado al FUZZ celebrado en Barcelona del 18 al 23 de julio de 2010. ; This paper presents a design environment for the synthesis of embedded fuzzy controllers on FPGAs. It provides a novel implementation technique that allows accelerating the exploration of the design space of fuzzy control modules, as well as a codesign flow that eases their integration into complex control systems and the joint development of hardware and software components. The set of CAD tools supporting this environment includes specific fuzzy logic design tools provided by Xfuzzy, FPGA synthesis and implementation tools from Xilinx, and modeling and simulation facilities from Matlab. As demonstrated by the analyzed design examples, the described development strategy takes advantage of flexibility and ease of configuration offered by the different tools to dramatically speed up the stages of description, synthesis, and functional verification of embedded fuzzy control systems. ; This work was partially supported by projects FP7-INFSO-ICT-248858 (www.mobydic-project.eu) from the European Community, TEC2008-04920 from the Spanish Ministry of Science and Innovation, and P08-TIC-03674 from the Andalusian regional Government. ; Peer Reviewed

This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-based inference systems. The tools share a common architecture for efficient hardware implementation of fuzzy modules, but are based on two different design strategies. One of them is focused on the generation of standard VHDL code, which can be later implemented on a reconfigurable device [field-programmable gate array (FPGA)] or as an application-specific integrated circuit (ASIC). The other one uses the Matlab/Simulink environment and tools for development of digital signal processing (DSP) systems on Xilinx's FPGAs. Both tools are included in the last version of Xfuzzy, which is a specific environment for designing complex fuzzy systems, and they provide interfaces to commercial VHDL synthesis and verification tools, as well as to conventional FPGA development environments. As demonstrated by the included design example, the proposed development strategies speed up the stages of description, synthesis, and functional verification of embedded fuzzy inference systems. ; This work was partially funded by Spanish Ministerio de Economía y Competitividad under the Project TEC2011-24319 and by Junta de Andalucía under the Project P08-TIC-03674 (both with support from FEDER), and by the European Community through the MOBY-DIC Project FP7-INFSO-ICT-248858 (www.mobydic-project.eu). P. Brox is supported under the post-doctoral program "Juan de la Cierva" from the Spanish Government. ; This work was partially funded by Spanish Ministerio de Economía y Competitividad under the Project TEC2011-24319 and by Junta de Andalucía under the Project P08-TIC-03674 (both with support from FEDER), and by the European Community through the MOBY-DIC Project FP7-INFSO-ICT-248858 (www.mobydic-project.eu). P. Brox is supported under the post-doctoral program "Juan de la Cierva" from the Spanish Government. ; Peer Reviewed