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Identification of Continuous Dynamical Systems

The Poisson Moment Functional (PMF) Approach

  • Book
  • © 1983

Overview

Editors:
  1. Dines Chandra Saha
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    You can also search for this editor in PubMed   Google Scholar

  2. Ganti Prasada Rao
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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 56)

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Table of contents (10 chapters)

  1. Front Matter

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  2. Continuous model identification (CMI)-introduction

    Pages 1-3

  3. Signal characterization in terms of distributions

    Pages 4-19

  4. A general algorithm for parameter identification in lumped linear continuous systems — the poisson moment functional (PMF) approach [P 17]

    Pages 20-51

  5. Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems — [P 18]

    Pages 52-64

  6. Conditions of identifiabilty

    Pages 65-72

  7. A microprocessor based system for on line parameter identification in continuous dynamical systems [P11]

    Pages 73-82

  8. System structure identification [P19, G9, G29]

    Pages 83-90

  9. Identification of time-lag and nonlinear systems

    Pages 91-109

  10. PMF method in the presence of noise

    Pages 110-122

  11. Multidimensional PMF's and their use in the identification of distributed parameter systems [P14]

    Pages 123-150

  12. Back Matter

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Keywords

Bibliographic Information

  • Book Title: Identification of Continuous Dynamical Systems

  • Book Subtitle: The Poisson Moment Functional (PMF) Approach

  • Editors: Dines Chandra Saha, Ganti Prasada Rao

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/BFb0044036

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1983

  • Softcover ISBN: 978-3-540-12759-8Published: 01 September 1983

  • eBook ISBN: 978-3-540-38728-2Published: 11 April 2006

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: IX, 163

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Computer Science, general

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