Identification and Control Using Volterra Models
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Author
Contributions
- Pearson, R. K. - Contributor
- Ogunnaike, B. A. - Contributor
Publication
2002 - Springer London, London, United Kingdom
Language
English
Word Count
78,500 words, Guess
Page Count
314 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveidentificationco00phdf
- ISBN-101447110633
- ISBN-101447101073
- ISBN-139781447110637
- ISBN-139781447101079
and 4 more
- OCLC Control Number853270490
- Better World Books9781447110637
- Better World Books9781447101079
- Open LibraryOL27044693M
Classifications
- DDC519
- LCCTA329-348
- LCCTA640-643
and 1 more
- LCCTJ212-225
Description
This text covers recent results in the analysis, identification and control of systems described by Volterra models. Topics covered include: - qualitative behavior of finite Volterra models compared and contrasted with other nonlinear model classes - structural restrictions and extensions to Volterra model class - least squares and stochastic identification approaches - model inversion issues - direct synthesis and model predictive control design - guidelines for practical applications Examples are drawn from Chemical, Biological and Electrical Engineering. The book is suitable as a text for a graduate control course, or as a reference for both research and practice.
Subjects
Series Statement
- Communications and Control Engineering
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