Skip to main content

The Use of Pseudo-Random Signals in Adaptive Control

  • Conference paper
Theory of Self-Adaptive Control Systems
  • 211 Accesses

Abstract

Previous work on adaptive control has treated the problem as being distinct from the allied subject of process identification. Thus entirely separate techniques have been developed for the solution of these two related topics. Periodic test signals have received wide acceptance as the probe for hill-climbing systems and sinusoidal perturbation is claimed to be the optimum in particular situations(1). The most recently proposed input for identification purposes is the pseudo-random binary sequence (PRBS), which can be chosen to give whatever detail is required concerning the impulse response of the system.

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

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. Roberts, J. D. “Extremum or hill-climb ing regulation: a statistical theory involving lags, disturbances and noise”. Proc. I.E.E. Volume 112, No. 1 January, 1965.

    Google Scholar 

  2. Van der Grinten, P. M. E. M. “The Application of Random Test Signals in Process Identification”. I.F.A.C. 1963, Paper 263. Basle Congress.

    Google Scholar 

  3. Private correspondence with Mr. D. Everett of the General Electric Company Ltd., Wembley.

    Google Scholar 

  4. Douce, J. L. and Bond, A. D. “The Development and Performance of a Self-optimising System”. Proc. I.E.E. 110(3), 1963.

    Google Scholar 

  5. Marshall Hall, Jr., “A Survey of Difference Sets”. Proc. Amer. Math. Soc., Vol. 7, No. 6, December 1956, pp.975–987.

    Article  MathSciNet  Google Scholar 

  6. Briggs, P.A.N. and Godfrey, K.R. Pseudo Random Signals for the dynamic analysis of multivariable systems. Proc. I.E.E. July 1966.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1966 Springer Science+Business Media New York

About this paper

Cite this paper

Douce, J.L., Ng, K.C. (1966). The Use of Pseudo-Random Signals in Adaptive Control. In: Hammond, P.H. (eds) Theory of Self-Adaptive Control Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-6289-8_32

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-6289-8_32

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-6157-0

  • Online ISBN: 978-1-4899-6289-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics