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Robustness in Identification and Control

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. A. Garulli
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  2. A. Tesi
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  • The tutorial style makes this an important and accessible book for engineers, control theorists and applied mathematicians
  • Various real-world case studies are included
  • All contributions come from worldwide leading researchers in this field

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 245)

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Table of contents (32 papers)

  1. Front Matter

    Download chapter PDF

  2. Robustness in identification

    • R. E. Kalman
    Pages 1-3

  3. Comments on model validation as set membership identification

    • Lennart Ljung
    Pages 7-16

  4. SM identification of model sets for robust control design from data

    • Mario Milanese, Michele Taragna
    Pages 17-34

  5. Robust identification and the rejection of outliers

    • Jonathan R. Partington, Pertti M. Mäkilä
    Pages 35-46

  6. Semi-parametric methods for system identification

    • Michiel Krüger, Eric Wemhoff, Andrew Packard, Kameshwar Poolla
    Pages 47-61

  7. Modal robust state estimator with deterministic specification of uncertainty

    • John Norton
    Pages 62-71

  8. The role of experimental conditions in model validation for control

    • Michel Gevers, Xavier Bombois, Benoit Codrons, Franky De Bruyne, Gérard Scorletti
    Pages 72-86

  9. Modeling and validation of nonlinear feedback systems

    • Roy Smith, Geir Dullerud
    Pages 87-101

  10. Towards a harmonic blending of deterministic and stochastic frameworks in information processing

    • Yi Le Wang, George Yin
    Pages 102-116

  11. Suboptimal conditional estimators for restricted complexity set membership identification

    • Andrea Garulli, Boleslaw Kacewicz, Antonio Vicino, Giovanni Zappa
    Pages 117-133

  12. Worst-case simulation of uncertain systems

    • Laurent El Ghaoui, Giuseppe Calafiore
    Pages 134-146

  13. On performance limitations in estimation

    • Zhiyuan Ren, Li Qiu, Jie Chen
    Pages 147-158

  14. Design criteria for uncertain models with structured and unstructured uncertainties

    • Ali H. Sayed, Vitor H. Nascimento
    Pages 159-173

  15. Robustness and performance in adaptive filtering

    • Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao
    Pages 174-189

  16. Nonlinear identification based on unreliable priors and data, with application to robot localization

    • Michel Kieffer, Luc Jaulin, Eric Walter, Dominique Meizel
    Pages 190-203

  17. Robust model predictive control: A survey

    • Alberto Bemporad, Manfred Morari
    Pages 207-226

  18. Intrinsic performance limits of linear feedback control

    • Jie Chen
    Pages 227-241

  19. Puzzles in systems and control

    • Pertti M. Mäkilä
    Pages 242-257

  20. Robust regional pole placement: An affine approximation

    • Vladimír Kučera, František J. Kraus
    Pages 258-270
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Keywords

About this book

This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. These are the latest contributions to the field, from leading researchers worldwide. The common theme underlying all of the contributions is the interplay between information, uncertainty and complexity in dealing with modelling, identification and control of dynamical systems. Papers cover recent developments in research areas such as identification for control and the classical area of robust control. There are a number of real-world case studies where the most advanced robustness analysis and synthesis techniques are applied to resolve previously unsolved problems. The relevance of the topic to the system engineering field, and the excellent scientific level of the contributions combine to make this book an important acquisition for engineers, control theorists and applied mathematicians.

Bibliographic Information

  • Book Title: Robustness in Identification and Control

  • Editors: A. Garulli, A. Tesi

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/BFb0109854

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London 1999

  • Softcover ISBN: 978-1-85233-179-5Published: 11 June 1999

  • eBook ISBN: 978-1-84628-538-7Published: 03 October 2007

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: XIV, 471

  • Number of Illustrations: 43 b/w illustrations

  • Topics: Control and Systems Theory, Computational Intelligence

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