# Nonlinear System Identification - Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification: Nonlinear System Parameter ... Modelling: Theory and Applications)

## Haber, Robert; Keviczky, L.

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The subject of the book is to present the modeling, parameter estimation and other aspects of the identification of nonlinear dynamic systems. The treatment is restricted to the input-output modeling approach. Because of the widespread usage of digital computers discrete time methods are preferred. Time domain parameter estimation methods are dealt with in detail, frequency domain and power spectrum procedures are described shortly. The theory is presented from the engineering point of view, and a large number of examples of case studies on the modeling and identifications of real processes illustrate the methods. Almost all processes are nonlinear if they are considered not merely in a small vicinity of the working point. To exploit industrial equipment as much as possible, mathematical models are needed which describe the global nonlinear behavior of the process. If the process is unknown, or if the describing equations are too complex, the structure and the parameters can be determined experimentally, which is the task of identification. The book is divided into seven chapters dealing with the following topics: 1. Nonlinear dynamic process models 2. Test signals for identification 3. Parameter estimation methods 4. Nonlinearity test methods 5. Structure identification 6. Model validity tests 7. Case studies on identification of real processes Chapter I summarizes the different model descriptions of nonlinear dynamical systems.

Reseña del editor:

This two-volume handbook presents a comprehensive overview of nonlinear dynamic system identification. The books include many aspects of nonlinear processes: modelling, parameter estimation, structure search, nonlinearity and model validity tests. The book includes not only nonparametric models but also parametric models which include a limited number of parameters. Time domain parameter estimation is dealt with in detail; frequency domain and power spectrum procedures are also included. This work is intended for postgraduate students, researchers and engineers whose work involves nonlinear systems. Many examples, case studies and experimental identifications of real processes have been included.

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## 1.Nonlinear System Identification: Input-Output Modeling Approach, 2 Volumes (Mathematical Modelling- Theory and Applications) (v. 1)

Editorial: Springer (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Springer, 1999. Hardcover. Estado de conservación: New. 1999. This item is printed on demand. Nº de ref. de la librería DADAX0792358589

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## 2.Nonlinear System Identification: Input-Output Modeling Approach, 2 Volumes (Mathematical Modelling- Theory and Applications) (v. 1)

Editorial: Springer (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Springer, 1999. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0792358589

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## 3.Nonlinear System Identification: Input-Output Modeling Approach: V. 1: Nonlinear System Parameter Identification: V. 2: Nonlinear System Structure Identification

ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Estado de conservación: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería POD_9780792358589

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## 4.Nonlinear System Identification: Nonlinear System Parameter Identification v. 1

Editorial: Kluwer Academic Publishers (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Kluwer Academic Publishers, 1999. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería I1-9780792358589

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## 5.Nonlinear System Identification - Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification: Nonlinear System Parameter ... Modelling: Theory and Applications)

Editorial: Springer (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Springer, 1999. Estado de conservación: New. This item is printed on demand for shipment within 3 working days. Nº de ref. de la librería LP9780792358589

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## 6.Nonlinear System Identification - Input-Output Modeling Approach : Volume 1: Nonlinear System Parameter Identification

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ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780792358589_lsuk

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## 7.Nonlinear System Identification: Nonlinear System Parameter Identification v. 1

Editorial: Kluwer Academic Publishers (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Kluwer Academic Publishers, 1999. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería I1-9780792358589

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## 8.Nonlinear System Identification ƒ?? Input-Output Modeling Approach. Volume 1: Nonlinear System Parameter Identification

Editorial: Springer (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Springer, 1999. Hardback. Estado de conservación: NEW. 9780792358589 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0280982

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## 9.Nonlinear System Identification: Nonlinear System Parameter Identification v. 1: Input-output Modeling Approach (Hardback)

Editorial: Kluwer Academic Publishers, United States (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
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Descripción Kluwer Academic Publishers, United States, 1999. Hardback. Estado de conservación: New. 1999 ed.. 246 x 165 mm. Language: English . Brand New Book. The subject of the book is to present the modeling, parameter estimation and other aspects of the identification of nonlinear dynamic systems. The treatment is restricted to the input-output modeling approach. Because of the widespread usage of digital computers discrete time methods are preferred. Time domain parameter estimation methods are dealt with in detail, frequency domain and power spectrum procedures are described shortly. The theory is presented from the engineering point of view, and a large number of examples of case studies on the modeling and identifications of real processes illustrate the methods. Almost all processes are nonlinear if they are considered not merely in a small vicinity of the working point. To exploit industrial equipment as much as possible, mathematical models are needed which describe the global nonlinear behavior of the process. If the process is unknown, or if the describing equations are too complex, the structure and the parameters can be determined experimentally, which is the task of identification. The book is divided into seven chapters dealing with the following topics: 1. Nonlinear dynamic process models 2. Test signals for identification 3. Parameter estimation methods 4. Nonlinearity test methods 5. Structure identification 6. Model validity tests 7. Case studies on identification of real processes Chapter I summarizes the different model descriptions of nonlinear dynamical systems. Nº de ref. de la librería AAS9780792358589

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## 10.Nonlinear System Identification: Nonlinear System Parameter Identification v. 1: Input-output Modeling Approach (Hardback)

Editorial: Kluwer Academic Publishers, United States (1999)
ISBN 10: 0792358589 ISBN 13: 9780792358589
Nuevos Tapa dura Cantidad: 1
Librería
The Book Depository US
(London, Reino Unido)
Valoración

Descripción Kluwer Academic Publishers, United States, 1999. Hardback. Estado de conservación: New. 1999 ed.. 246 x 165 mm. Language: English . Brand New Book. The subject of the book is to present the modeling, parameter estimation and other aspects of the identification of nonlinear dynamic systems. The treatment is restricted to the input-output modeling approach. Because of the widespread usage of digital computers discrete time methods are preferred. Time domain parameter estimation methods are dealt with in detail, frequency domain and power spectrum procedures are described shortly. The theory is presented from the engineering point of view, and a large number of examples of case studies on the modeling and identifications of real processes illustrate the methods. Almost all processes are nonlinear if they are considered not merely in a small vicinity of the working point. To exploit industrial equipment as much as possible, mathematical models are needed which describe the global nonlinear behavior of the process. If the process is unknown, or if the describing equations are too complex, the structure and the parameters can be determined experimentally, which is the task of identification. The book is divided into seven chapters dealing with the following topics: 1. Nonlinear dynamic process models 2. Test signals for identification 3. Parameter estimation methods 4. Nonlinearity test methods 5. Structure identification 6. Model validity tests 7. Case studies on identification of real processes Chapter I summarizes the different model descriptions of nonlinear dynamical systems. Nº de ref. de la librería AAS9780792358589

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