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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

Fuzzy-logic-based inference techniques provide efficient solutions for control problems in classical and emerging applications. However, the lack of specific design tools and systematic approaches for hardware implementation of complex fuzzy controllers limits the applicability of these techniques in modern microelectronics products. This paper discusses a design strategy that eases the implementation of embedded fuzzy controllers as systems on programmable chips. The development of the controllers is carried out by means of a reconfigurable platform based on field-programmable gate arrays. This platform combines specific hardware to implement fuzzy inference modules with a general-purpose processor, thus allowing the realization of hybrid hardware/software solutions. As happens to the components of the processing system, the specific fuzzy elements are conceived as configurable intellectual property modules in order to accelerate the controller design cycle. The design methodology and tool chain presented in this paper have been applied to the realization of a control system for solving the navigation tasks of an autonomous vehicle. © 2007 IEEE. ; This work was supported in part by the Spanish Ministry of Education and Science under Projects TEC2005-04359/MIC and DPI2005-02293, and in part by the Andalusian Regional Government under Projects TIC2006-635 and TEP2006-375. ; 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

Comunicación presentada a la "FUZZ-IEEE 2007" celebrada en Londres del 23 al 26 de Julio de 2007. ; Since 1992, Xfuzzy environment has been improving to ease the design of fuzzy systems. The current version, Xfuzzy 3, which is entirely programmed in Java, includes a wide set of new featured tools that allow automating the whole design process of a fuzzy logic based system: from its description (in the XFL3 language) to its synthesis in C, C++ or Java (to be included in software projects) or in VHDL (for hardware projects). The new features of the current version have been exploited in different application areas such as autonomous robot navigation and image processing. ; This work was supported in part by the Spanish CICYT Projects DPI2005-02293 and TEC2005-04359, and by the Projects TIC2006-635 and TEP2006-375 from the Andalusian regional Government. The sixth author is supported by the Spanish Ministry of Education and Science under the program F.P.U. for PhD. students. ; Peer Reviewed