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Nonlinear System Identification: Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification: 7 - Rilegato
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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.
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Contenuti
Preface. Volume 1: Nonlinear System Parameter Estimation. Preface. Glossary. 1. Nonlinear Dynamic Process Models. 2. Test Signals for Identification. 3. Parameter Estimation Methods. Volume 2: Nonlinear System Structure Identification. 4. Nonlinearity Test Methods. 5. Structure Identification. 6. Model Validity Tests. 7. Case Studies on Identification of Real Processes. Author Index. Subject Index.
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- EditoreKluwer Academic Pub
- Data di pubblicazione1999
- ISBN 10 0792358589
- ISBN 13 9780792358589
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine800
- Contatto del produttorenon disponibile
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Nonlinear System Identification - Input-Output Modeling Approach
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Condizione: 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. Codice articolo 5968972
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Nonlinear System Identification ¿ Input-Output Modeling Approach
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Springer Netherlands Jul 1999, 1999
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ISBN 13: 9780792358589
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Buch. Condizione: 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. 840 pp. Englisch. Codice articolo 9780792358589
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Nonlinear System Identification - Input-Output Modeling Approach
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Springer Netherlands, Springer Netherlands Jul 1999, 1999
ISBN 10: 0792358589
ISBN 13: 9780792358589
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Buch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 840 pp. Englisch. Codice articolo 9780792358589
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Nonlinear System Identification: Input-Output Modeling Approach, 2 Volumes (Mathematical Modelling- Theory and Applications)
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Nonlinear System Identification - Input-Output Modeling Approach : Volume 1: Nonlinear System Parameter Identification
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Springer Netherlands, Springer Netherlands, 1999
ISBN 10: 0792358589
ISBN 13: 9780792358589
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Buch. Condizione: 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. Codice articolo 9780792358589
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Nonlinear System Identification - Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification Volume 2: Nonlinear System Structure . Modelling: Theory and Applications) (v. 1)
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