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Block-oriented Nonlinear System Identification - nouveau livre

2010, ISBN: 1849965129

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Block-oriented Nonlinear System Identification

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.

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EAN (ISBN-13): 9781849965125
ISBN (ISBN-10): 1849965129
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer London
431 Pages
Poids: 0,754 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-04-06T22:51:19+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-01-19T21:14:54+01:00 (Paris)
ISBN/EAN: 1849965129

ISBN - Autres types d'écriture:
1-84996-512-9, 978-1-84996-512-5
Autres types d'écriture et termes associés:
Auteur du livre: wei wei, bai, fouad, giri
Titre du livre: nonlinear system identification, der block, 404


Données de l'éditeur

Auteur: Fouad Giri; Er-Wei Bai
Titre: Lecture Notes in Control and Information Sciences; Block-oriented Nonlinear System Identification
Editeur: Springer; Springer London
426 Pages
Date de parution: 2010-08-18
London; GB
Imprimé / Fabriqué en
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XX, 426 p. 50 illus.

BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; Block-orientated Systems; Control; Cross000; Hammerstein; Nonlinear Systems; Nonlinear system; Parameter Estimation; Systems Identification; Wiener; system; system identification; Systems Biology; Control and Systems Theory; Life Sciences; Applications of Mathematics; Systems Theory, Control; Computational and Systems Biology; Biowissenschaften, allgemein; Angewandte Mathematik; Kybernetik und Systemtheorie; DV-gestützte Biologie/Bioinformatik; EA

Block-oriented Nonlinear Models.- to Block-oriented Nonlinear Systems.- Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective.- Iterative and Overparameterization Methods.- An Optimal Two-stage Identification Algorithm for Hammerstein–Wiener Nonlinear Systems.- Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems.- Iterative Identification of Hammerstein Systems.- Stochastic Methods.- Recursive Identification for Stochastic Hammerstein Systems.- Wiener System Identification Using the Maximum Likelihood Method.- Parametric Versus Nonparametric Approach to Wiener Systems Identification.- Identification of Block-oriented Systems: Nonparametric and Semiparametric Inference.- Identification of Block-oriented Systems Using the Invariance Property.- Frequency Methods.- Frequency Domain Identification of Hammerstein Models.- Frequency Identification of Nonparametric Wiener Systems.- Identification of Wiener–Hammerstein Systems Using the Best Linear Approximation.- SVM, Subspace and Separable Least-squares.- Subspace Identification of Hammerstein–Wiener Systems Operating in Closed-loop.- NARX Identification of Hammerstein Systems Using Least-Squares Support Vector Machines.- Identification of Linear Systems with Hard Input Nonlinearities of Known Structure.- Blind Methods.- Blind Maximum-likelihood Identification of Wiener and Hammerstein Nonlinear Block Structures.- A Blind Approach to Identification of Hammerstein Systems.- A Blind Approach to the Hammerstein-Wiener Model Identification.- Decoupling Inputs and Bounded Error Methods.- Decoupling the Linear and Nonlinear Parts in Hammerstein Model Identification.- Hammerstein System Identification in Presence of Hard Memory Nonlinearities.- Bounded ErrorIdentification of Hammerstein Systems with Backlash.- Application of Block-oriented Models.- Block Structured Modelling in the Study of the Stretch Reflex.- Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation.
An exhaustive treatment of an important area of nonlinear systems research Large and international author pool ensures authoritative treatment Presents results illustrated by applications in biomedical and physiological systems

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