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Soft Computing in Hardware Implementations

  • Bogdan. M. Wilamowski
  • Okyay M. Kaynak
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Summary

Several VLSI implementations for soft computing are described, including piecewise approximation and nonlinear signal processing using MOS device characteristics. Both fuzzy and neural technologies are investigated. Fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more complex and hard to train, but provide an outstanding control surface with much less error than that of a fuzzy controller.

Keywords

Membership Function Fuzzy Controller Soft Computing Control Surface Very Large Scale Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Zurada, J., Introduction to Artificial Neural Systems, West Publishing Company, 1992.Google Scholar
  2. 2.
    Wilamowski B. M. (1998) “Neuro-Fuzzy Systems and its applications” tutorial at 24th IEEE International Industrial Electronics Conference (IECON’98) August 31 - September 4, 1998, Aachen, Germany, vol. 1, pp. t35-t49.Google Scholar
  3. 3.
    Wilamowski, B. M., “Neural Networks and Fuzzy Systems” The Mechatronics Handbook. CRC Press 2002, pp. 32–1 to 32–26Google Scholar
  4. 4.
    Choi J., B.J.Sheu, and J.C.F. Chang, (1994) A Gaussian Synapse Circuit for Analog VLSI Neural Networks. IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 2, no. 1, pp. 129–133.CrossRefGoogle Scholar
  5. 5.
    Rodriguez-Vazquez A. and F. Vidal-Verdu, Learning in Neuro/Fuzzy Analog Chips, IEEE International Symposium on Circuits and Systems, Seattle WA, vol. 3, pp. 2325–2328, April 30-May 3 1995.Google Scholar
  6. 6.
    Yamakawa, A fuzzy Inference Engine in Nonlinear Analog Mode and its Application to a Fuzzy Logic Control, IEEE Trans. on Neural Networks, vol. 4, pp. 496–522, 1993.CrossRefGoogle Scholar
  7. 7.
    Ota, Y. and B. M. Wilamowski, “ CMOS Implementation of a Voltage-Mode Fuzzy Min-Max Controller”, Journal of Circuits, Systems and Computers, vol. 6, No 2, pp. 171–184, April 1996.CrossRefGoogle Scholar
  8. 8.
    Ahmadi S., L. Sellami, and R. W. Newcomb, A CMOS PWL Fuzzy Membership Function, IEEE International Symposium on Circuits and Systems, Seattle WA, vol. 3, pp. 2321–2324, April 30-May 3 1995Google Scholar
  9. 9.
    Angulo J.R., (1995) A BiCMOS Universal Membership Function Circuit with Fully Independent, Adjustable Parameters, Proc. IEEE International Symposium on Circuits and Systems, pp. 275–278.Google Scholar
  10. 10.
    Baturone I., A. Barriga, and J. L. Huertas, “Multi-input Voltage and Current-Mode Min/Max Circuits,” Proceedings: 3rd Int. Conf. on Fuzzy Logic, Neural Networks and Soft Computing, Iizuka, Japan, 1994.Google Scholar
  11. 11.
    Ota Y. and B. Wilamowski, Current-Mode CMOS Implementation of a Fuzzy Min-Max Network, World Congress on Neural Nerworks vol. II, pp. 480–483, 1995.Google Scholar
  12. 12.
    Yamakawa T., “A Fuzzy Inference Engine in Nonlinear Analog Mode and its Application to a Fuzzy Logic Control,” IEEE Trans. on Neural Networks, vol. 4, no. 3, pp. 496–522, May 1993.CrossRefGoogle Scholar
  13. 13.
    Wilamowski B.M. and J. Binfet, “Do Fuzzy Controllers Have Advantages over Neural Controllers in Microprocessor Implementation” Proc. of. 2-nd International Conference on Recent Advances in Mechatronics–ICRAM’99, Istanbul, Turkey, pp. 342–347, May 24–26, 1999.Google Scholar
  14. 14.
    Wilamowski, B. M., R. C. Jaeger, and M. O. Kaynak, “Neuro-Fuzzy Architecture for CMOS Implementation” IEEE Transaction on Industrial Electronics, vol. 46, No. 6, pp. 1132–1136, Dec. 1999.CrossRefGoogle Scholar
  15. 15.
    B. M. Wilamowski and O. Kaynak, “Oil Well Diagnosis by sensing Terminal Characteristics of the Induction Motor,” IEEE Transactions on Industrial Electronics, Vol 47, No 5, pp. 1100–1107, October 2000CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Bogdan. M. Wilamowski
    • 1
  • Okyay M. Kaynak
    • 2
  1. 1.College of Engr.University of IdahoBoiseUSA
  2. 2.EEE DepartmentBogazici UniversityIstanbulTurkey

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