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Block-oriented Nonlinear System Identification

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Cover of 'Block-oriented Nonlinear System Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Block-oriented Nonlinear Systems
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    Chapter 2 Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective
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    Chapter 3 An Optimal Two-stage Identification Algorithm for Hammerstein–Wiener Nonlinear Systems
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    Chapter 4 Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems
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    Chapter 5 Iterative Identification of Hammerstein Systems
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    Chapter 6 Recursive Identification for Stochastic Hammerstein Systems
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    Chapter 7 Wiener System Identification Using the Maximum Likelihood Method
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    Chapter 8 Parametric Versus Nonparametric Approach to Wiener Systems Identification
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    Chapter 9 Identification of Block-oriented Systems: Nonparametric and Semiparametric Inference
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    Chapter 10 Identification of Block-oriented Systems Using the Invariance Property
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    Chapter 11 Frequency Domain Identification of Hammerstein Models
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    Chapter 12 Frequency Identification of Nonparametric Wiener Systems
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    Chapter 13 Identification of Wiener–Hammerstein Systems Using the Best Linear Approximation
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    Chapter 14 Subspace Identification of Hammerstein–Wiener Systems Operating in Closed-loop
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    Chapter 15 NARX Identification of Hammerstein Systems Using Least-Squares Support Vector Machines
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    Chapter 16 Identification of Linear Systems with Hard Input Nonlinearities of Known Structure
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    Chapter 17 Blind Maximum-likelihood Identification of Wiener and Hammerstein Nonlinear Block Structures
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    Chapter 18 A Blind Approach to Identification of Hammerstein Systems
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    Chapter 19 A Blind Approach to the Hammerstein-Wiener Model Identification
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    Chapter 20 Decoupling the Linear and Nonlinear Parts in Hammerstein Model Identification
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    Chapter 21 Hammerstein System Identification in Presence of Hard Memory Nonlinearities
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    Chapter 22 Bounded Error Identification of Hammerstein Systems with Backlash
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    Chapter 23 Block Structured Modelling in the Study of the Stretch Reflex
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    Chapter 24 Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation
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Citations

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Title
Block-oriented Nonlinear System Identification
Published by
Springer-Verlag London, January 2010
DOI 10.1007/978-1-84996-513-2
ISBNs
978-1-84996-513-2, 978-1-84996-512-5
Editors

Fouad Giri, Er-Wei Bai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Netherlands 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Spain 1 <1%
Unknown 97 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 28%
Student > Master 15 15%
Researcher 10 10%
Student > Doctoral Student 9 9%
Professor 6 6%
Other 22 21%
Unknown 12 12%
Readers by discipline Count As %
Engineering 62 60%
Computer Science 6 6%
Mathematics 3 3%
Economics, Econometrics and Finance 3 3%
Physics and Astronomy 3 3%
Other 7 7%
Unknown 19 18%