Authors:
- Identification results are presented from both deterministic (least squares) and stochastic perspectives
- The identification of Volterra series is addressed from a new perspective, bringing to light many new and significant results
- Both direct synthesis techniques as well as more general, implicit formulations are discussed
Part of the book series: Communications and Control Engineering (CCE)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Chemical Engineering, University of Delaware, Newark, USA
F. J. Doyle
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Instutut fuer Automatik, ETH Zurich, Zurich, Switzerland
R. K. Pearson
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DuPont Company, Wilmington, USA
B. A. Ogunnaike
Bibliographic Information
Book Title: Identification and Control Using Volterra Models
Authors: F. J. Doyle, R. K. Pearson, B. A. Ogunnaike
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-1-4471-0107-9
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2002
Hardcover ISBN: 978-1-85233-149-8Published: 05 October 2001
Softcover ISBN: 978-1-4471-1063-7Published: 03 October 2013
eBook ISBN: 978-1-4471-0107-9Published: 06 December 2012
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XIV, 314
Topics: Control and Systems Theory, Mathematical and Computational Engineering, Control, Robotics, Mechatronics