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Nonlinear system identification : from classical approaches to neural networks and fuzzy models

Author: Oliver Nelles
Publisher: Berlin ; New York : Springer, ©2001.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Oliver Nelles
ISBN: 3540673695 9783540673699 9783642086748 3642086748
OCLC Number: 44883772
Description: xvii, 785 pages : illustrations ; 24 cm
Contents: 1. Introduction --
Pt. I. Optimization Techniques --
2. Introduction to Optimization --
3. Linear Optimization --
4. Nonlinear Local Optimization --
5. Nonlinear Global Optimization --
6. Unsupervised Learning Techniques --
7. Model Complexity Optimization --
8. Summary of Part I --
Pt. II. Static Models --
9. Introduction to Static Models --
10. Linear, Polynomial, and Look-Up Table Models --
11. Neural Networks --
12. Fuzzy and Neuro-Fuzzy Models --
13. Local Linear Neuro-Fuzzy Models: Fundamentals --
14. Local Linear Neuro-Fuzzy Models: Advanced Aspects --
15. Summary of Part II --
Pt. III. Dynamic Models --
16. Linear Dynamic System Identification --
17. Nonlinear Dynamic System Identification --
18. Classical Polynomial Approaches --
19. Dynamic Neural and Fuzzy Models --
20. Dynamic Local Linear Neuro-Fuzzy Models --
21. Neural Networks with Internal Dynamics --
Pt. IV. Applications --
22. Applications of Static Models --
23. Applications of Dynamic Models --
24. Applications of Advanced Methods --
A. Vectors and Matrices.
Responsibility: Oliver Nelles.
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Abstract:

Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader  Read more...

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