Identification of Continuous-Time Systems

Methodology and Computer Implementation

  • N. K. Sinha
  • G. P. Rao

Part of the International Series on Microprocessor-Based Systems Engineering book series (ISCA, volume 7)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Ganti Prasada Rao, Naresh K. Sinha
    Pages 1-15
  3. Brett M. Ninness, Graham C. Goodwin
    Pages 79-122
  4. N. K. Sinha, G. J. Lastman
    Pages 123-137
  5. E. V. Bohn
    Pages 139-157
  6. Shien-Yu Wang
    Pages 159-203
  7. Z. H. Jiang, W. Schaufelberger
    Pages 205-225
  8. H. Dai, N. K. Sinha
    Pages 259-289
  9. S. Sagara, Z. Y. Zhao
    Pages 291-325
  10. D. C. Saha, V. N. Bapat, B. K. Roy
    Pages 327-361
  11. Marc Moonen, Bart De Moor, Joos Vandewalle
    Pages 473-488
  12. H. Unbehauen
    Pages 509-548
  13. L. Gerencsér, Zs. Vágó
    Pages 575-587
  14. G. P. Rao, A. Patra, S. Mukhopadhyay
    Pages 589-637
  15. Back Matter
    Pages 639-639

About this book


In view of the importance of system identification, the International Federation of Automatic Control (IFAC) and the International Federation of Operational Research Societies (IFORS) hold symposia on this topic every three years. Interest in continuous time approaches to system identification has been growing in recent years. This is evident from the fact that the of invited sessions on continuous time systems has increased from one in the 8th number Symposium that was held in Beijing in 1988 to three in the 9th Symposium in Budapest in 1991. It was during the 8th Symposium in August 1988 that the idea of bringing together important results on the topic of Identification of continuous time systems was conceived. Several distinguished colleagues, who were with us in Beijing at that time, encouraged us by promising on the spot to contribute to a comprehensive volume of collective work. Subsequently, we contacted colleagues all over the world, known for their work in this area, with a formal request to contribute to the proposed volume. The response was prompt and overwhelmingly encouraging. We sincerely thank all the authors for their valuable contributions covering various aspects of identification of continuous time systems.


Signal computer differential equation model modeling orthogonal polynomials system system identification

Editors and affiliations

  • N. K. Sinha
    • 1
  • G. P. Rao
    • 2
  1. 1.McMaster UniversityHamiltonCanada
  2. 2.Indian Institute of TechnologyKharagpurIndia

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1991
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-5576-5
  • Online ISBN 978-94-011-3558-0
  • Series Print ISSN 2213-8986
  • Buy this book on publisher's site
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