Communications and Control Engineering

Sampled-Data Models for Linear and Nonlinear Systems

Authors: Yuz, Juan, Goodwin, Graham C

  • Coverage of stochastic, deterministic, linear and nonlinear systems provides the reader with treatment of sampled-data systems of unparalleled breadth
  • Clears up and corrects many common misconceptions about sampled-data systems
  • Diverse applications demonstrate the real significance of the book’s ideas within control and signal processing
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Hardcover $129.00
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  • ISBN 978-1-4471-5561-4
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Softcover $129.00
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  • ISBN 978-1-4471-6997-0
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About this book

Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives:

· the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable;

· although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and

· the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central.

The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illustrated using a number of applications.

Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in Sampled-data Models for Linear and Nonlinear Systems to be a useful manual for dealing with sampled-data systems, clearing away mistaken ideas and bringing the subject thoroughly up to date. Researchers in statistics and economics will also derive benefit from the reworking of ideas relating a model derived from data sampling to an original continuous system.

 

Reviews

“The book treats the classical subject of discretization with an interesting and more current perspective. Graduate students and researchers in areas such as systems, control, and signal processing will find this book a useful reference.” (Hideaki Ishii, Mathematical Reviews, October, 2015)


Table of contents (22 chapters)

  • Introduction

    Yuz, Juan I. (et al.)

    Pages 1-4

  • Background on Sampling of Signals

    Yuz, Juan I. (et al.)

    Pages 7-19

  • Sampled-Data Models for Linear Deterministic Systems

    Yuz, Juan I. (et al.)

    Pages 21-38

  • Incremental Sampled-Data Models

    Yuz, Juan I. (et al.)

    Pages 39-45

  • Asymptotic Sampling Zeros

    Yuz, Juan I. (et al.)

    Pages 47-58

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-1-4471-5562-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-1-4471-5561-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-1-4471-6997-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Sampled-Data Models for Linear and Nonlinear Systems
Authors
Series Title
Communications and Control Engineering
Copyright
2014
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-5562-1
DOI
10.1007/978-1-4471-5562-1
Hardcover ISBN
978-1-4471-5561-4
Softcover ISBN
978-1-4471-6997-0
Series ISSN
0178-5354
Edition Number
1
Number of Pages
XVII, 289
Number of Illustrations and Tables
4 b/w illustrations, 44 illustrations in colour
Topics