Skip to main content

Abstract

Intelligent control techniques that emulate characteristics of biological systems offer opportunities for creating control products with new capabilities. In today’s competitive economic environment, these control techniques can provide products with the all-important competitive edge that companies seek. However, while numerous applications of intelligent control (IC) have been described in the literature, few advance past the simulation stage to become laboratory prototypes, and only a handful make their way into products. The ability of research to impact products hinges not so much on finding the best solution to a problem, but on finding the right problem and then solving it in a marketable way [1].

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

Access this chapter

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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chiu S (1997) Developing commercial applications of intelligent control. IEEE Control Syst Mag 17(2):94–100

    Article  MathSciNet  Google Scholar 

  2. Encyclopedia Britannica (2009) Intelligence. http://www.britannica.com/EBchecked/topic/289766/human-intelligence. Accessed on 22 March 2009

    Google Scholar 

  3. Jang J-SR (1993) ANFIS: Adaptive network-based fuzzy inference systems. IEEE Trans Syst Man Cybernet 23:665–685

    Article  Google Scholar 

  4. Karr CL (2003) Control of a phosphate processing plant via a synergistic architecture. Eng Appl Artif Intell 6(1):21–30

    Article  MathSciNet  Google Scholar 

  5. Van Rooij AJF (1996) Neural network training using genetic algorithms. World Scientific, River Edge, NJ

    Google Scholar 

  6. Sanchez E, Shibata T, Zadeh LA (1997) Genetic algorithms and fuzzy logic systems. Advances in fuzzy systems: application and theory, Vol. 7. World Scientific, River Edge, NJ

    Google Scholar 

  7. Kosko B (1991) Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. Prentice Hall, New York

    Google Scholar 

  8. Goonatilake S, Khebbal S (eds) (1996) Intelligent hybrid systems. Wiley, New York

    Google Scholar 

  9. Medsker LR (1995) Hybrid intelligent systems. Kluwer, Dordrecht

    MATH  Google Scholar 

  10. Schwartz DG, Klir GJ (1992) Fuzzy logic flowers in Japan. IEEE Spectrum 29(7):32–35

    Article  Google Scholar 

  11. Zilouchian A, Jamshidi M (2001) Intelligent control systems using soft computing methodologies. CRC, Boca Raton, FL

    Google Scholar 

  12. Warwick K (1998) Recent developments in intelligent control. IEE Colloquium on Updates on Developments in Intelligent Control, Oct 1998, pp 1/1–1/4

    Google Scholar 

  13. Josifovska S (2003) The father of LabVIEW. IEE Rev 49(9):30–33

    Article  Google Scholar 

  14. Kehtarnavaz N, Gope C (2006) DSP system design using LabVIEW and Simulink: a comparative evaluation. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, 14–19 May 2006, Vol. 2, pp II–II

    Google Scholar 

  15. ITESM Mexico (2007) Intelligent Control Toolkit for LabVIEW. US Patent Application 61/197,484

    Google Scholar 

  16. National Instruments (2009) http://www.ni.com. Accessed on 22 March 2009

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag London Limited

About this chapter

Cite this chapter

(2010). Intelligent Control for LabVIEW. In: Intelligent Control Systems with LabVIEW™. Springer, London. https://doi.org/10.1007/978-1-84882-684-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-84882-684-7_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-683-0

  • Online ISBN: 978-1-84882-684-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics