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Bounding Approaches to System Identification

  • Book
  • © 1996

Overview

Editors:
  1. Mario Milanese

    1. Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy

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  2. John Norton

    1. School of Electronic and Electrical Engineering, University of Birmingham, Edgbaston, Birmingham, UK

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  3. Hélène Piet-Lahanier

    1. Direction des Études de Synthèse, SM Office National d’Études et de Recherches Aérospatiales, Châtillon Cedex, France

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  4. Éric Walter

    1. Laboratoire des Signaux et Systèmes, CNRS-École Supérieure d’Électricité, Gif-sur-Yvette Cedex, France

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-xix
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  2. Overview of the Volume

    • J. P. Norton
    Pages 1-4

  3. Optimal Estimation Theory for Dynamic Systems with Set Membership Uncertainty: An Overview

    • M. Milanese, A. Vicino
    Pages 5-27

  4. Solving Linear Problems in the Presence of Bounded Data Perturbations

    • B. Z. Kacewicz
    Pages 29-42

  5. Review and Comparison of Ellipsoidal Bounding Algorithms

    • G. Favier, L. V. R. Arruda
    Pages 43-68

  6. The Dead Zone in System Identification

    • K. Forsman, L. Ljung
    Pages 69-82

  7. Recursive Estimation Algorithms for Linear Models with Set Membership Error

    • G. Belforte, T. T. Tay
    Pages 83-99

  8. Transfer Function Parameter Interval Estimation Using Recursive Least Squares in the Time and Frequency Domains

    • P.-O. Gutman
    Pages 101-118

  9. Volume-Optimal Inner and Outer Ellipsoids

    • L. Pronzato, É. Walter
    Pages 119-138

  10. Linear Interpolation and Estimation Using Interval Analysis

    • S. M. Markov, E. D. Popova
    Pages 139-157

  11. Adaptive Approximation of Uncertainty Sets for Linear Regression Models

    • A. Vicino, G. Zappa
    Pages 159-168

  12. Worst-Case l 1 Identification

    • M. Milanese
    Pages 169-181

  13. Recursive Robust Minimax Estimation

    • É. Walter, H. Piet-Lahanier
    Pages 183-197

  14. Robustness to Outliers of Bounded-Error Estimators and Consequences on Experiment Design

    • L. Pronzato, É. Walter
    Pages 199-212

  15. Ellipsoidal State Estimation for Uncertain Dynamical Systems

    • T. F. Filippova, A. B. Kurzhanski, K. Sugimoto, I. Vályi
    Pages 213-238

  16. Set-Valued Estimation of State and Parameter Vectors within Adaptive Control Systems

    • V. M. Kuntsevich
    Pages 239-259

  17. Limited-Complexity Polyhedric Tracking

    • H. Piet-Lahanier, É. Walter
    Pages 261-273

  18. Parameter-Bounding Algorithms for Linear Errors-in-Variables Models

    • S. M. Veres, J. P. Norton
    Pages 275-288

  19. Errors-in-Variables Models in Parameter Bounding

    • V. Cerone
    Pages 289-306

  20. Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels

    • Y. A. Merkuryev
    Pages 307-316
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Keywords

About this book

In response to the growing interest in bounding error approaches, the editors of this volume offer the first collection of papers to describe advances in techniques and applications of bounding of the parameters, or state variables, of uncertain dynamical systems. Contributors explore the application of the bounding approach as an alternative to the probabilistic analysis of such systems, relating its importance to robust control-system design.

Reviews

`A comprehensive and modern overview.'
Mathematical Reviews

Editors and Affiliations

  • Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy

    Mario Milanese

  • School of Electronic and Electrical Engineering, University of Birmingham, Edgbaston, Birmingham, UK

    John Norton

  • Direction des Études de Synthèse, SM Office National d’Études et de Recherches Aérospatiales, Châtillon Cedex, France

    Hélène Piet-Lahanier

  • Laboratoire des Signaux et Systèmes, CNRS-École Supérieure d’Électricité, Gif-sur-Yvette Cedex, France

    Éric Walter

Bibliographic Information

  • Book Title: Bounding Approaches to System Identification

  • Editors: Mario Milanese, John Norton, Hélène Piet-Lahanier, Éric Walter

  • DOI: https://doi.org/10.1007/978-1-4757-9545-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1996

  • Hardcover ISBN: 978-0-306-45021-1Published: 31 May 1996

  • Softcover ISBN: 978-1-4757-9547-9Published: 05 May 2013

  • eBook ISBN: 978-1-4757-9545-5Published: 29 June 2013

  • Edition Number: 1

  • Number of Pages: XIX, 567

  • Topics: Systems Theory, Control, Engineering, general, Complexity

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