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Fuzzy Processing Implementation in Dedicated Digital Hardware

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Języki publikacji
EN
Abstrakty
EN
The paper presents a concept of digital circuit dedicated for fuzzy processing with numerical inputs and outputs. Partially concurrent and pipelined data flow provides high performance, with relatively low dependence on particular algorithm complexity. Sample design with triangular fuzzy sets, rule strength calculation (minimum approach) and defuzzyfication by weighted sum of fuzzy sets centers was implemented in VHDL, verified and synthesized for FPGA. Floating point arithmetic was applied, including dvision performed by dedicated synchronous machine. All modules were prepared for easy reuse/redesign.
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EN
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autor
  • Faculty of Microsystem Electronics and Photonics, Wrocław Univeristy of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland, przemyslaw.szecowka@pwr.wroc.pl
Bibliografia
  • [1] L. A. Zadeh, “Fuzzy sets,” Information and Control, no. 8, 1965.
  • [2] G. Ascia, V. Catania, and M. Russo, “Vlsi hardware architecture for complex fuzzy systems,” IEEE Trans. Fuzzy Syst., vol. 7, pp. 553-570, 1999.
  • [3] D. L. Hung, “Dedicated digital fuzzy hardware,” IEEE Micro, vol. 4, pp. 31-39, 1959.
  • [4] A. Jaramillo-Botero and Y. Miyake, “A high speed parallel architecture for fuzzy inference and fuzzy control of multiple processes,” in Proc. Third IEEE Conference on Fuzzy Systems, vol. 3, Orlando FL, 1994, pp. 1765-1770.
  • [5] J. I. M. Torre, J. P. Deschamps, and M. F. Centeno, “Synthesis tools for dedicated fuzzy hardware,” in Proc. Fifth IEEE International Conference on Fuzzy Systems, vol. 1, 1996, pp. 570-574.
  • [6] G. Louverdis and I. Andreadis, “Design and implementation of a fuzzy hardware structure for morphological color image processing,” IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 3, pp. 277-288, 2003.
  • [7] N. Masmoudi, M. Hachicha, and L. Kamoun, “Hardware design of programmable fuzzy controller on fpga,” in Proc. Fuzzy Systems Conference (FUZZ-IEEE '99), vol. 3, 1999, pp. 1675-1679.
  • [8] S. Sanchez-Solano, A. J. Cabrera, I. Baturone, F. J. Moreno-Velo, and M. Brox, “Fpga implementation of embedded fuzzy controllers for robotic applications,” IEEE Trans. Ind. Electron., vol. 54, pp. 1937-1945, 2007.
  • [9] S. Cai, X. Chen, Q. Wang, and M. Yin, “Fpga implementation of generalized fuzzy operations,” in Proc. Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Shandong, 2008, pp. 560-564.
  • [10] J. Góra, P. M. Szecówka, and A. R. Wołczowski, “Fft based emg signals analysis on fpgas for dexterous hand prosthesis control,” in Manmachine interactions, K. A. Cyran et al., Ed. Springer, 2009, pp. 655-662.
  • [11] P. M. Szecówka, G. Sługocki, and T. P. Gotszalk, “Fast and high resolution frequency meter based on fpga,” Elektronika, vol. 10, pp. 16-19, 2009.
  • [12] A. R. Wołczowski, P. M. Szecówka, K. Krysztoforski, and M. Kowalski, “Hardware approach to the artificial hand control algorithm realization,” Lecture Notes in Computer Science, vol. 3745, pp. 149-160, 2005.
  • [13] P. M. Szecówka, A. Charytoniuk, and R. Najbert, “Automated implementation of feedforward neural network in digital integrated circuit,” in Proc. 10th international conference MIXDES, 2003, pp. 164-167.
  • [14] “VHDL Language Reference Manual,” IEEE Std No. 1076, 2000.
  • [15] “ISE Web Pack,” Xlinx, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0046-0028
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