Skip to main content
SpringerLink
Log in
Book cover

Annual Asian Computing Science Conference

ASIAN 1999: Advances in Computing Science — ASIAN’99 pp 37–49Cite as

Rapid Prototyping Techniques for Fuzzy Controllers

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1742))

Abstract

In this paper, a new framework for rapid system design and implementation for fuzzy systems is proposed. The given system specifi- cation is separated into two components: a conceptual specification and a parameter specification. The conceptual specification defines the system core, which is rarely changed during the system adjustment and may be implemented in hardware at an early stage of the design process. The parameter specification defines parameters that are often changed and are implemented in software for easy adjustment. Such a partitioning ap- proach integrates both hardware and software capability. The presented methodology gives a rapid prototyping and efficient system tuning pro- cess which, therefore, can reduce the development cycle time and increase flexibility when designing fuzzy systems.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mentor graphics product. http://www.mentorg.com.

    Google Scholar 

  2. V. Catania et al. A VLSI fuzzy inference processor based on a discrete analog approach. Computer, pages 37–46, 1982.

    Google Scholar 

  3. A. L. Eliason. System development analysis, design, and implementation. Scott Foresman Little Brown, 1990.

    Google Scholar 

  4. J. W. Fattaruso, S. S. Mahant-Shetti, and J. B. Barton. A fuzzy logic inference processor. In Proceedings of the Third International Conference on Industrial Fuzzy Control and Intelligent Systems, pages 210–214, Houston, Texas, December 1-3 1993.

    Google Scholar 

  5. M. Jamshidi, N. Vadiee, and T. J. Ross, editors. Fuzzy Logic and Control: Software and Hardware Applications, chapter 4-5, pages 51–111. Prentice-Hall, 1993.

    Google Scholar 

  6. A. Kandel and S. C. Lee. Fuzzy Switching and Automata. Crane, Russak and Company Inc., New York, 1 edition, 1979.

    MATH  Google Scholar 

  7. M. S. Khan and E. E. Swartzland Jr. Rapid prototyping fault-tolerant heteroge-neous digital signal processing systems. In Proceedings of the Sixth International Workshop on Rapid System Prototyping, pages 187–193, 1995.

    Google Scholar 

  8. Z. Kohavi. Switching and Finite Automata Thoery. McGraw-Hill, 1979.

    Google Scholar 

  9. E. H. Mamdani. Advances in linguistic synthesis of fuzzy controllers. InternationalJournalMan Machine Studies, 8:669–678, 1976.

    Article  MATH  Google Scholar 

  10. M. A. Manzoul. CAD tool for implementation of fuzzy controllers on FPGAs. Cybernetics and Systems, pages 599–609, 1994.

    Google Scholar 

  11. M. A. Manzould and H. A. Serrte. Fuzzy Systolic Arrays. In Proceedings of the 18th International Symposium on Multiple-valued Logic, pages 106–112, Palma de Mallorca, Spain, 1988. IEEE-CS-Press.

    Google Scholar 

  12. J. Moore and M. A. Manzoul. An interactive fuzzy CAD tool. IEEE Micro, pages 68–74, April 1996.

    Google Scholar 

  13. T. J. Ross. Fuzzy Logic with Engineering Applications. McGrawHill, 1 edition, 1995.

    Google Scholar 

  14. M. H. Smith. Tuning membership functions, tuning and and or operations, tuning defuzzication: which is the best? In Proceedings of the North American Fuzzy Information Processing Society Biannual Conference, pages 347–351, 1994.

    Google Scholar 

  15. A. P. Ungering and K. Goser. Architecture of a 64-bit fuzzy inference processor. In Proceedings of the International Conference on Fuzzy Systems, volume 3, pages 1776–1780, 1994.

    Article  Google Scholar 

  16. H. Watanabe. Risc approach to design fuzzy processor architecture. In Proceedings of the International Conference on Fuzzy Systems, volume 3, pages 1809–1814, 1994.

    Google Scholar 

  17. L. A. Zadeh. Fuzzy Logic. Computer, 1:83–93, 1988.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Science, Silpakorn University, Nakorn Pathom, 7300, Thailand

    Chantana Chantrapornchai

  2. National Electronics and Computer Technology Center High Performance Computing Laboratory, Bangkok, 10400, Thailand

    Sissades Tongsima

  3. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA

    Edwin Sha

Authors
  1. Chantana Chantrapornchai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sissades Tongsima
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edwin Sha
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Chennai Mathematical Institute, 92 G.N. Chetty Road, T. Nagar, Chennai, 600 017, India

    P. S. Thiagarajan

  2. School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore, 119260

    Roland Yap

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chantrapornchai, C., Tongsima, S., Sha, E. (1999). Rapid Prototyping Techniques for Fuzzy Controllers. In: Thiagarajan, P.S., Yap, R. (eds) Advances in Computing Science — ASIAN’99. ASIAN 1999. Lecture Notes in Computer Science, vol 1742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46674-6_5

Download citation

  • DOI: https://doi.org/10.1007/3-540-46674-6_5

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66856-5

  • Online ISBN: 978-3-540-46674-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation