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Table of contents

  1. Front Matter
  2. R. E. Kalman
    Pages 1-3
  3. Mario Milanese, Michele Taragna
    Pages 17-34
  4. Jonathan R. Partington, Pertti M. Mäkilä
    Pages 35-46
  5. Michiel Krüger, Eric Wemhoff, Andrew Packard, Kameshwar Poolla
    Pages 47-61
  6. Michel Gevers, Xavier Bombois, Benoit Codrons, Franky De Bruyne, Gérard Scorletti
    Pages 72-86
  7. Roy Smith, Geir Dullerud
    Pages 87-101
  8. Andrea Garulli, Boleslaw Kacewicz, Antonio Vicino, Giovanni Zappa
    Pages 117-133
  9. Laurent El Ghaoui, Giuseppe Calafiore
    Pages 134-146
  10. Zhiyuan Ren, Li Qiu, Jie Chen
    Pages 147-158
  11. Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao
    Pages 174-189
  12. Michel Kieffer, Luc Jaulin, Eric Walter, Dominique Meizel
    Pages 190-203
  13. Alberto Bemporad, Manfred Morari
    Pages 207-226
  14. Pertti M. Mäkilä
    Pages 242-257
  15. Vladimír Kučera, František J. Kraus
    Pages 258-270
  16. Murti V. Salapaka, Mustafa Khammash
    Pages 306-317
  17. Mustafa Khammash, Murti V. Salapaka, Tim Van Voorhis
    Pages 318-328
  18. Bassam Bamieh, Fernando Paganini, Munther Dahleh
    Pages 329-343
  19. Graziano Chesi, Alberto Tesi, Antonio Vicino, Roberto Genesio
    Pages 359-372
  20. Chaouki T. Abdallah, Marco Ariola, Peter Dorato, Vladimir Koltchinskii
    Pages 373-390
  21. Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini
    Pages 408-421
  22. Salvatore Monaco, Dorothée Normand-Cyrot
    Pages 422-433
  23. Back Matter

About these proceedings

Introduction

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.

Keywords

actuator control dynamical systems identification mimo system modeling optimal control pole placement robot robust control simulation stability stabilization system identification uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0109854
  • Copyright Information Springer-Verlag 1999
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-85233-179-5
  • Online ISBN 978-1-84628-538-7
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site