Table of contents

  1. Front Matter
    PDF
  2. Identification and robust control
    Pramod P. Khargonekar
    Pages 1-9
  3. An essay on identification of feedback systems
    Pertti Mäkilä, Jonathan Partington
    Pages 11-13
  4. Thoughts on identification for control
    Michael G. Safonov
    Pages 15-17
  5. An essay on robust control
    Hidenori Kimura
    Pages 19-23
  6. On the character of uncertainty for system identification and robust control design
    Robert L. Kosut
    Pages 25-28
  7. Extensions of parametric bounding formulation of identification for robust control design
    J. P. Norton
    Pages 29-34
  8. Connecting identification and robust control
    Michel Gevers
    Pages 35-37
  9. On nominal models, model uncertainty and iterative methods in identification and control design
    Paul Van den Hof, Ruud Schrama, Peter Bongers
    Pages 39-50
  10. An informal review of model validation
    Roy Smith
    Pages 51-59
  11. From data to control
    Munther A. Dahleh, John C. Doyle
    Pages 61-63
  12. Is robust control reliable?
    Jeffrey C. Kantor, Billie F. Spencer Jr.
    Pages 65-67
  13. Modeling uncertainty in control systems: A process control perspective
    Daniel E. Rivera
    Pages 69-75
  14. A note on H∞ system identification with probabilistic a priori information
    Clas A. Jacobson, Gilead Tadmor
    Pages 77-92
  15. A worst case identification method using time series data
    Jie Chen, Carl N. Nett, Michael K. H. Fan
    Pages 93-104
  16. Identification in H∞ using time-domain measurement data
    Guoxiang Gu
    Pages 105-116
  17. Identification of feedback systems from time series
    Pertti Mäkilä, Jonathan Partington
    Pages 117-126
  18. Input-output extrapolation-minimization theorem and its applications to model validation and robust identification
    Tong Zhou, Hidenori Kimura
    Pages 127-137
  19. Identification of model error bounds in l1- and H∞-norm
    Richard G. Hakvoort, Paul M. J. Van den Hof
    Pages 139-155
  20. Asymptotic worst-case identification with bounded noise
    Munther A. Dahleh
    Pages 157-170

About these proceedings

Introduction

This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Sixty-nine researchers, from nine countries, participated. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field. This book serves both as in introduction to the topic and as a reference on the current technical problems and approaches.

Keywords

Bias Turbine adaptive control control control system diagnosis feedback information measurement process control robust control system identification uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0036239
  • Copyright Information Springer-Verlag 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-19870-3
  • Online ISBN 978-3-540-39327-6
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book