Skip to main content

Modeling uncertainty in control systems: A process control perspective

  • Part I Essays
  • Conference paper
  • First Online:
The Modeling of Uncertainty in Control Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 192))

  • 248 Accesses

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Foss, A.S. “Critique of Chemical Process Control Theory,” AIChE Journal, 19, 209, 1973.

    Article  Google Scholar 

  2. Lee, W. and V.W. Weekman. “Advanced Control Practice in the Chemical Industry: A View from Industry,” AIChE Journal, 22, 27, 1976.

    Article  Google Scholar 

  3. García, C.E., D.M. Prett, and M. Morari. “Model Predictive Control: Theory and Practice — a Survey,” Automatica, 25, 335, 1989.

    Google Scholar 

  4. “NSF/EPRI Workshop on Intelligent Control Systems,” Final Report, Edited by R. Shoureshi and D. Wormley, October, 1990.

    Google Scholar 

  5. Ljung, L. System Identification: Theory for the User, Prentice-Hall, New Jersey, 1987.

    Google Scholar 

  6. Wahlberg, B. “System Identification Using Laguerre Models,” IEEE Trans. Autom. Cntrl., 36, 551, 1991.

    Article  Google Scholar 

  7. Goodwin, G.C., B. Ninness, and M.E. Salgado, “Quantification of Uncertainty in Estimation,” Proc. 1990 American Control Conference, San Diego.

    Google Scholar 

  8. Helmicki, A.J., C.A. Jacobson, and C.N. Nett, “Control-Oriented System Identification: A Worst-Case/Deterministic Approach in H ,” IEEE Trans. Autom. Cntrl., 36, 1163, 1991.

    Article  Google Scholar 

  9. Bayard, D.S., “Statistical plant set estimation using Schroeder-phased multisinusoidal input design,” 1992 American Control Conference, Chicago, pgs. 2988–2995, also J. Applied Mathematics and Computation, forthcoming.

    Google Scholar 

  10. Rivera, D.E., J.F. Pollard, and C.E. García, “Control-Relevant Prefiltering: A Systematic Design Approach and Case Study,” IEEE Trans. Autom. Cntrl., Special Issue on System Identification for Robust Control Design, 37, 964, 1992.

    Article  Google Scholar 

  11. Jenkins, G.M. and D.G. Watts. Spectral Analysis and its Applications, Holden-Day, San Francisco, 1969.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Roy S. Smith PhD Mohammed Dahleh PhD

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag

About this paper

Cite this paper

Rivera, D.E. (1994). Modeling uncertainty in control systems: A process control perspective. In: Smith, R.S., Dahleh, M. (eds) The Modeling of Uncertainty in Control Systems. Lecture Notes in Control and Information Sciences, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0036251

Download citation

  • DOI: https://doi.org/10.1007/BFb0036251

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19870-3

  • Online ISBN: 978-3-540-39327-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics