The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
A Cabrera - One of the best experts on this subject based on the ideXlab platform.
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hardware software Codesign of configurable fuzzy control systems
Applied Soft Computing, 2004Co-Authors: A Cabrera, Santiago Sanchezsolano, Piedad Brox, A Barriga, R SenhadjiAbstract:Abstract Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete) linguistic rules used by human operators when describing the control process. This paper focuses on the hardware/software Codesign of configurable fuzzy control systems. Two prototype systems implemented on general-purpose development boards are presented. In both of them, hardware components are based on specific and configurable fuzzy inference architecture whereas software tasks are supported by a microcontroller. The first prototype uses an off-the-shelf microcontroller and a low-complexity Xilinx XC4005XL field programmable gate array (FPGA). The second one is implemented as a system on programmable chip (SoPC), integrating the microcontroller together with the fuzzy hardware architecture and its interface circuits into a Xilinx Spartan2E200 FPGA.
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hardware software Codesign methodology for fuzzy controller implementation
IEEE International Conference on Fuzzy Systems, 2002Co-Authors: A Cabrera, Santiago Sanchezsolano, A Barriga, R Senhadji, C J JimenezAbstract:Describes a HW/SW Codesign methodology for the implementation of fuzzy controllers on a platform composed of a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system.
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prototyping of fuzzy logic based controllers using standard fpga development boards
Rapid System Prototyping, 2002Co-Authors: Santiago Sanchezsolano, A Cabrera, R Senhadji, C J Jimenez, I Aturone, A ArrigaAbstract:This paper describes a design methodology for fuzzy logic-based control systems. The methodology employs hardware/software Codesign techniques according to an 'a priori' partition of the tasks assigned to the selected components. This feature makes it possible to tackle the control system prototyping as one of the design stages. In our case, the platform considered for prototyping has been a development board containing a standard microcontroller and an FPGA. Experimental results from an actual control application validate the efficiency of this methodology.
Preeti Ranjan Panda - One of the best experts on this subject based on the ideXlab platform.
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proceedings of the ninth ieee acm ifip international conference on hardware software Codesign and system synthesis
International Conference on Hardware Software Codesign and System Synthesis, 2013Co-Authors: Radu Marculescu, Preeti Ranjan PandaAbstract:It is our great pleasure to welcome you to CODES+ISSS 2013, the 11th ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis. Over the past decade CODES+ISSS has grown to become the premier event dedicated to interdisciplinary research on system-level synthesis and optimization. Last year's edition of this conference was held in Finland; this year, we have the pleasure of hosting it in the beautiful city of Montreal, Canada.
R Senhadji - One of the best experts on this subject based on the ideXlab platform.
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hardware software Codesign of configurable fuzzy control systems
Applied Soft Computing, 2004Co-Authors: A Cabrera, Santiago Sanchezsolano, Piedad Brox, A Barriga, R SenhadjiAbstract:Abstract Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete) linguistic rules used by human operators when describing the control process. This paper focuses on the hardware/software Codesign of configurable fuzzy control systems. Two prototype systems implemented on general-purpose development boards are presented. In both of them, hardware components are based on specific and configurable fuzzy inference architecture whereas software tasks are supported by a microcontroller. The first prototype uses an off-the-shelf microcontroller and a low-complexity Xilinx XC4005XL field programmable gate array (FPGA). The second one is implemented as a system on programmable chip (SoPC), integrating the microcontroller together with the fuzzy hardware architecture and its interface circuits into a Xilinx Spartan2E200 FPGA.
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hardware software Codesign methodology for fuzzy controller implementation
IEEE International Conference on Fuzzy Systems, 2002Co-Authors: A Cabrera, Santiago Sanchezsolano, A Barriga, R Senhadji, C J JimenezAbstract:Describes a HW/SW Codesign methodology for the implementation of fuzzy controllers on a platform composed of a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system.
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prototyping of fuzzy logic based controllers using standard fpga development boards
Rapid System Prototyping, 2002Co-Authors: Santiago Sanchezsolano, A Cabrera, R Senhadji, C J Jimenez, I Aturone, A ArrigaAbstract:This paper describes a design methodology for fuzzy logic-based control systems. The methodology employs hardware/software Codesign techniques according to an 'a priori' partition of the tasks assigned to the selected components. This feature makes it possible to tackle the control system prototyping as one of the design stages. In our case, the platform considered for prototyping has been a development board containing a standard microcontroller and an FPGA. Experimental results from an actual control application validate the efficiency of this methodology.
C J Jimenez - One of the best experts on this subject based on the ideXlab platform.
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hardware software Codesign methodology for fuzzy controller implementation
IEEE International Conference on Fuzzy Systems, 2002Co-Authors: A Cabrera, Santiago Sanchezsolano, A Barriga, R Senhadji, C J JimenezAbstract:Describes a HW/SW Codesign methodology for the implementation of fuzzy controllers on a platform composed of a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system.
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prototyping of fuzzy logic based controllers using standard fpga development boards
Rapid System Prototyping, 2002Co-Authors: Santiago Sanchezsolano, A Cabrera, R Senhadji, C J Jimenez, I Aturone, A ArrigaAbstract:This paper describes a design methodology for fuzzy logic-based control systems. The methodology employs hardware/software Codesign techniques according to an 'a priori' partition of the tasks assigned to the selected components. This feature makes it possible to tackle the control system prototyping as one of the design stages. In our case, the platform considered for prototyping has been a development board containing a standard microcontroller and an FPGA. Experimental results from an actual control application validate the efficiency of this methodology.
Santiago Sanchezsolano - One of the best experts on this subject based on the ideXlab platform.
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hardware software Codesign of configurable fuzzy control systems
Applied Soft Computing, 2004Co-Authors: A Cabrera, Santiago Sanchezsolano, Piedad Brox, A Barriga, R SenhadjiAbstract:Abstract Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete) linguistic rules used by human operators when describing the control process. This paper focuses on the hardware/software Codesign of configurable fuzzy control systems. Two prototype systems implemented on general-purpose development boards are presented. In both of them, hardware components are based on specific and configurable fuzzy inference architecture whereas software tasks are supported by a microcontroller. The first prototype uses an off-the-shelf microcontroller and a low-complexity Xilinx XC4005XL field programmable gate array (FPGA). The second one is implemented as a system on programmable chip (SoPC), integrating the microcontroller together with the fuzzy hardware architecture and its interface circuits into a Xilinx Spartan2E200 FPGA.
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hardware software Codesign methodology for fuzzy controller implementation
IEEE International Conference on Fuzzy Systems, 2002Co-Authors: A Cabrera, Santiago Sanchezsolano, A Barriga, R Senhadji, C J JimenezAbstract:Describes a HW/SW Codesign methodology for the implementation of fuzzy controllers on a platform composed of a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system.
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prototyping of fuzzy logic based controllers using standard fpga development boards
Rapid System Prototyping, 2002Co-Authors: Santiago Sanchezsolano, A Cabrera, R Senhadji, C J Jimenez, I Aturone, A ArrigaAbstract:This paper describes a design methodology for fuzzy logic-based control systems. The methodology employs hardware/software Codesign techniques according to an 'a priori' partition of the tasks assigned to the selected components. This feature makes it possible to tackle the control system prototyping as one of the design stages. In our case, the platform considered for prototyping has been a development board containing a standard microcontroller and an FPGA. Experimental results from an actual control application validate the efficiency of this methodology.
