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Block-oriented Nonlinear System Identification
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Block-oriented Nonlinear System Identification - used book

ISBN: 9781849965125

ID: 9781849965125

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike. TOC:Block-oriented Nonlinear Systems.- Nonlinear System Modelling Based on Wiener Theory.- Parametric Identification of Hammerstein: Over-parameterization Approach.- Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems.- Iterative Identification of Parametric Hammerstein.- Hammerstein System Identification.- Maximum Likelihood Estimation of Wiener Models.- Stochastic Identification of Wiener Systems.- Convergence Rate in Nonparametric and Semi-parametric Identification.- Identification of Block-oriented Systems Using the Invariance Property.- Frequency Identification of Hammerstein Systems.- Frequency Identification of Wiener Systems.- Frequency Identification of Wiener and Hammerstein Systems.- Kernel-based Methods in the Identification of Wiener-Hammerstein Systems in Closed Loop within a Subspace Context.- Least-squares Support Vector Machine Estimation of Hammerstein Systems.- Separable Least-squares Estimation of Hammerstein with Hard Nonlinearities.- Blind Identification of Block Structures with Unknown Input.- Blind Identification of Hammerstein-Wiener Systems.- Nonlinear Filtered-algorithm for a Class of Parallel Hammerstein Systems.- Bounded Error Identification of Hammersteini with Backlash.- Decouple Input Hammerstein System Identification.- Identification of Block-oriented System with Input Backlash.- Block-oriented Models in Biomedical/Physiological Applications.- Block-oriented Modelling in Biological Systems. weltbild.at > Bücher > Wissenschaft & Technik > Fachbücher Technik

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Block-oriented Nonlinear System Identification
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Block-oriented Nonlinear System Identification - new book

ISBN: 9781849965125

ID: 878833779

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike. TOC:Block-oriented Nonlinear Systems.- Nonlinear System Modelling Based on Wiener Theory.- Parametric Identification of Hammerstein: Over-parameterization Approach.- Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems.- Iterative Identification of Parametric Hammerstein.- Hammerstein System Identification.- Maximum Likelihood Estimation of Wiener Models.- Stochastic Identification of Wiener Systems.- Convergence Rate in Nonparametric and Semi-parametric Identification.- Identification of Block-oriented Systems Using the Invariance Property.- Frequency Identification of Hammerstein Systems.- Frequency Identification of Wiener Systems.- Frequency Identification of Wiener and Hammerstein Systems.- Kernel-based Methods in the Identification of Wiener-Hammerstein Systems in Closed Loop within a Subspace Context.- Least-squares Support Vector Machine Estimation of Hammerstein Systems.- Separable Least-squares Estimation of Hammerstein with Hard Nonlinearities.- Blind Identification of Block Structures with Unknown Input.- Blind Identification of Hammerstein-Wiener Systems.- Nonlinear Filtered-algorithm for a Class of Parallel Hammerstein Systems.- Bounded Error Identification of Hammersteini with Backlash.- Decouple Input Hammerstein System Identification.- Identification of Block-oriented System with Input Backlash.- Block-oriented Models in Biomedical/Physiological Applications.- Block-oriented Modelling in Biological Systems. weltbild.at > Bücher > Wissenschaft & Technik > Fachbücher Technik

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Block-oriented Nonlinear System Identification - Herausgegeben von Giri, Fouad Bai, Er-Wei
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Block-oriented Nonlinear System Identification - Paperback

2010

ISBN: 9781849965125

[ED: Softcover], [PU: Springer, Berlin], Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques stochastic and frequency approaches support-vector-machine, subspace, and separable-least-squares methods blind identification method bounded-error method and decoupling inputs approach.The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.2010. xx, 426 S. 50 SW-Abb. 235 mmVersandfertig in 3-5 Tagen, [SC: 0.00]

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Block-oriented Nonlinear System Identification - Fouad Giri; Er-Wei Bai
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Fouad Giri; Er-Wei Bai:
Block-oriented Nonlinear System Identification - Paperback

2010, ISBN: 9781849965125

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Block-oriented nonlinear system identification - Paperback

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Details of the book
Block-oriented Nonlinear System Identification
Author:

Bai, Er-Wei;Giri, Fouad

Title:

Block-oriented Nonlinear System Identification

ISBN:

1849965129

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach.The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.

Details of the book - Block-oriented Nonlinear System Identification


EAN (ISBN-13): 9781849965125
ISBN (ISBN-10): 1849965129
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Verlag London
431 Pages
Weight: 0,754 kg
Language: eng/Englisch

Book in our database since 06.04.2007 22:51:19
Book found last time on 16.10.2016 13:07:26
ISBN/EAN: 1849965129

ISBN - alternate spelling:
1-84996-512-9, 978-1-84996-512-5

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