Authors:
- Easy and intuitive understanding
- Explanations and terminology from an engineering point-of-view
- Only basic mathematics required
- Self-contained, no other literature needed
- Includes supplementary material: sn.pub/extras
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Table of contents (22 chapters)
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Front Matter
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Introduction
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Optimization Techniques
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Front Matter
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Back Matter
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Back Matter
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Dynamic Models
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Front Matter
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About this book
Authors and Affiliations
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UC Berkeley / TU Darmstadt, Kronberg, Germany
Oliver Nelles
Bibliographic Information
Book Title: Nonlinear System Identification
Book Subtitle: From Classical Approaches to Neural Networks and Fuzzy Models
Authors: Oliver Nelles
DOI: https://doi.org/10.1007/978-3-662-04323-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-540-67369-9Published: 06 November 2000
Softcover ISBN: 978-3-642-08674-8Published: 15 December 2010
eBook ISBN: 978-3-662-04323-3Published: 09 March 2013
Edition Number: 1
Number of Pages: XVII, 786
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Complexity, Calculus of Variations and Optimal Control; Optimization, Simulation and Modeling