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Nonlinear System Identification — Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification: 7 (Mathematical Modelling: Theory and Applications) - Tapa blanda
Reseña del editor
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.
Audience: 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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- EditorialSpringer
- Año de publicación2012
- ISBN 10 9401059209
- ISBN 13 9789401059206
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas428
EUR 166,15
EUR 29,44 gastos de envío desde Reino Unido a Estados Unidos de America
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Nonlinear System Identification ? Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification (Mathematical Modelling: Theory and Applications)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Nonlinear System Identification ¿ Input-Output Modeling Approach
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Springer Netherlands Dez 2012, 2012
ISBN 10: 9401059209
ISBN 13: 9789401059206
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 428 pp. Englisch. Nº de ref. del artículo: 9789401059206
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Nonlinear System Identification ? Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification (Mathematical Modelling: Theory and Applications)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Nonlinear System Identification - Input-Output Modeling Approach
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Springer Netherlands, 2012
ISBN 10: 9401059209
ISBN 13: 9789401059206
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 comp. Nº de ref. del artículo: 5832556
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Nonlinear System Identification ¿ Input-Output Modeling Approach : Volume 1: Nonlinear System Parameter Identification
Publicado por
Springer Netherlands, 2012
ISBN 10: 9401059209
ISBN 13: 9789401059206
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. del artículo: 9789401059206
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Nonlinear System Identification - Input-Output Modeling Approach
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 428 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 322592161
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Nonlinear System Identification - Input-Output Modeling Approach
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND pp. 428. Nº de ref. del artículo: 18323871348
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Nonlinear System Identification Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification (Mathematical Modelling: Theory and Applications, 7)
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA80094010592096
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