Skip to main content

Optimality of the Adaptive Controllers

  • Conference paper
  • 815 Accesses

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 74))

Abstract

Results presented in [1] can be considered as the fundamental one in the adaptive control theory. Essentially, it is shown that if the system is exactly modelled, a self-tuning controller provides the same performance as the minimum-variance controller. It turns out that similar results are valid even in the presence of a modelling error. In this paper it is proved that in the presence of unmodelled dynamics, adaptive controller guarantees in a certain sense the same performance as the best non-adaptive controller. Despite the fact that the estimation algorithm has a vanishing gain sequence, uniform boundedness of all signals is established.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. G.C. Goodwin, P.J. Ramadge and P.E. Caines, Discrete time stochastic adaptive control, SIAM J. Contr. and Optimization, 19 (1981) pp. 829–853.

    Article  MathSciNet  MATH  Google Scholar 

  2. R.L. Kosut and B. Friedlander, Robust adaptive control: conditions for global stability, IEEE Trans. Aut. Contr., AC-30 (1985) pp. 610–624.

    Article  MathSciNet  Google Scholar 

  3. B.E. Ydstie, Transient performance and robustness of direct adaptive control, IEEE Trans. Aut. Contr., AC-37 (1992) pp. 1092–1105.

    Google Scholar 

  4. E. Egardt, Stability of adaptive controllers (Springer-Verlag, New York, 1979).

    Book  MATH  Google Scholar 

  5. C.E. Rohrs., L. Valavani, M. Athans and G. Stein, Analytical verification of undesirable properties of direct model reference adaptive control algorithm, Proc. 20th IEEE Conf. Decision and Contr., 2 (1981) pp. 1272–1284.

    Google Scholar 

  6. P.A. Ioannou and J. Sun, Theory and design of robust direct and indirect adaptive-control schemes, Int. J. Contr., 47 (1988) 775–813.

    Article  MathSciNet  MATH  Google Scholar 

  7. M.S. Radenkovic and B. Ydstie, Using persistent excitation with fixed energy to stabilize adaptive controllers and obtain hard bounds for the parameter estimation error, approved for publication in SIAM J. Contr. and Optimization, 1994.

    Google Scholar 

  8. M.S. Radenkovic and A.N. Michel, Robust adaptive systems and self stabilization, IEEE Trans. Aut. Contr., AC-37 (1992) pp. 1355–1369.

    Article  MathSciNet  Google Scholar 

  9. K. Glover, All optimal Hankel norm approximations of linear multivariable systems and their L∞-error bounds, Int. J. Contr., 39 (1984) pp. 1145–1193.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer Science+Business Media New York

About this paper

Cite this paper

Radenkovic, M.S., Ydstie, B.E. (1995). Optimality of the Adaptive Controllers. In: Åström, K.J., Goodwin, G.C., Kumar, P.R. (eds) Adaptive Control, Filtering, and Signal Processing. The IMA Volumes in Mathematics and its Applications, vol 74. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8568-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-8568-2_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6439-2

  • Online ISBN: 978-1-4419-8568-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics