Identification of nonlinear physiological systems
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. * Pro...
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Main Authors: | |
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Corporate Authors: | ; |
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
IEEE Press series on biomedical engineering
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Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0471722960 |
Summary: |
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. |
Item Description: | "IEEE Engineering in Medicine and Biology Society, Sponsor." |
Carrier Form: | 1 online resource (xii, 261 pages) : illustrations. |
Bibliography: | Includes bibliographical references (pages 251-257) and index. |
ISBN: |
0471274569 9780471274568 0471722960 9780471722960 |
Index Number: | QP33 |
CLC: | R33 |
Contents: | Machine generated contents note: 1. Introduction -- 2. Background -- 3. Models of Linear Systems -- 4. Models of Nonlinear Systems -- 5. Identification of Linear Systems -- 6. Correlation-Based Methods -- 7. Explicit Least-Squares Methods -- 8. Iterative Least-Squares Methods. |