Identification of Nonlinear Physiological Systems - Rilegato

Westwick, D. T.; Kearney, Robert E.

 
9780471274568: Identification of Nonlinear Physiological Systems
Rilegato
ISBN 10: 0471274569 ISBN 13: 9780471274568
Casa editrice: IEEE, 2003

Sinossi

Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date.
* Enables the reader to use a wide variety of nonlinear system identification techniques.
* Offers a thorough treatment of the underlying theory.
* Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.

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Informazioni sull?autore

David T. Westwick is an assistant professor in the Department of Electrical and Computer Engineering at the University of Calgary.

Robert E. Kearney is professor and Chair of the Department of Biomedical Engineering at McGill University. A recipient of the IEEE Millenium Medal, he is a Fellow of the IEEE and former President of the IEEE Engineering in Medicine and Biology Society.

Dalla quarta di copertina

A comprehensive reference for nonlinear identification of biomedical systems

System identification encompasses a set of tools that construct mathematical models of dynamic systems from measurements of their inputs and outputs. Since many of the systems that are of interest to biomedical engineers and physiologists are nonlinear, mathematical models of nonlinear systems, and methods to construct them from experimental measurements, are required.

Identification of Nonlinear Physiological Systems presents the methods used to identify models of nonlinear systems from measurements in order to enable readers to make informed decisions regarding which techniques are likely to be most applicable to a given system or experiment. Providing both the theoretical background of the methods and practical advice on how to implement, apply, and interpret the results of these methods, the book:

  • Reviews linear system models that are the bases for nonlinear models
  • Develops nonlinear system models with an emphasis on the relationships between them
  • Includes running MATLAB® examples to illustrate the results obtained by different methods when applied to the same data
  • Details the relationships between various approaches and discusses their relative strengths and weaknesses
  • Presents the results from several key studies employing system identification methods

Recent advances in such fields as high throughput genomics and proteomics and growing interest in the new paradigm of systems biology are making an understanding of nonlinear systems ever more urgent. Identification of Nonlinear Physiological Systems is a welcome reference for anyone involved in the study of the nonlinear dynamic behavior of biomedical systems.

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Editore
IEEE
Data di pubblicazione
2003
Lingua
Inglese
ISBN 10 
0471274569
ISBN 13 
9780471274568
Rilegatura
Copertina rigida
Numero di pagine
288
Contatto del produttore
Wiley VCH Verlag GmbH
info@wiley-vch.de

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Weinheim
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