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Nonlinear System Identification

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Cover of 'Nonlinear System Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Introduction to Optimization
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    Chapter 3 Linear Optimization
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    Chapter 4 Nonlinear Local Optimization
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    Chapter 5 Nonlinear Global Optimization
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    Chapter 6 Unsupervised Learning Techniques
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    Chapter 7 Model Complexity Optimization
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    Chapter 8 Summary of Part I
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    Chapter 9 Introduction to Static Models
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    Chapter 10 Linear, Polynomial, and Look-Up Table Models
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    Chapter 11 Neural Networks
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    Chapter 12 Fuzzy and Neuro-Fuzzy Models
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    Chapter 13 Local Linear Neuro-Fuzzy Models: Fundamentals
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    Chapter 14 Local Linear Neuro-Fuzzy Models: Advanced Aspects
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    Chapter 15 Input Selection for Local Model Approaches
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    Chapter 16 Gaussian Process Models (GPMs)
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    Chapter 17 Summary of Part II
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    Chapter 18 Linear Dynamic System Identification
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    Chapter 19 Nonlinear Dynamic System Identification
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    Chapter 20 Classical Polynomial Approaches
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    Chapter 21 Dynamic Neural and Fuzzy Models
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    Chapter 22 Dynamic Local Linear Neuro-Fuzzy Models
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    Chapter 23 Neural Networks with Internal Dynamics
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    Chapter 24 Applications of Static Models
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    Chapter 25 Applications of Dynamic Models
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    Chapter 26 Design of Experiments
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    Chapter 27 Input Selection Applications
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    Chapter 28 Applications of Advanced Methods
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    Chapter 29 LMN Toolbox
Attention for Chapter 3: Linear Optimization
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Chapter title
Linear Optimization
Chapter number 3
Book title
Nonlinear System Identification
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-47439-3_3
Book ISBNs
978-3-03-047438-6, 978-3-03-047439-3
Authors

Oliver Nelles

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Engineering 1 100%