System Identification: Theory for the User (Prentice Hall Information and System Sciences Series)

 
9780136566953: System Identification: Theory for the User (Prentice Hall Information and System Sciences Series)

Book by Ljung Lennart

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Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and practice of System Identification-the science of building mathematical models of dynamic systems by observing input/output data. It puts the user in focus, giving the necessary background to understand theoretical foundation and emphasizing the practical aspects of the options and choices that face the user. The Second Edition has been updated to include material on subspace methods, non-linear black box models-such as neural networks-and methods that use frequency domain data.

Contraportada:


65669-4

The field's leading text, now completely updated.

Modeling dynamical systems theory, methodology, and applications.

Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB.

Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques:

  • Nonparametric time-domain and frequency-domain methods.
  • Parameter estimation methods in a general prediction error setting.
  • Frequency domain data and frequency domain interpretations.
  • Asymptotic analysis of parameter estimates.
  • Linear regressions, iterative search methods, and other ways to compute estimates.
  • Recursive (adaptive) estimation techniques.

Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models.

The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.

"

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Ljung, Lennart
Editorial: Prentice Hall
ISBN 10: 0136566952 ISBN 13: 9780136566953
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Descripción Prentice Hall. Estado de conservación: New. Brand New. Nº de ref. de la librería 0136566952

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Lennart Ljung
Editorial: Pearson Education (US), United States (1999)
ISBN 10: 0136566952 ISBN 13: 9780136566953
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Descripción Pearson Education (US), United States, 1999. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 178 mm. Language: English . Brand New Book. Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and practice of System Identification-the science of building mathematical models of dynamic systems by observing input/output data. It puts the user in focus, giving the necessary background to understand theoretical foundation and emphasizing the practical aspects of the options and choices that face the user. The Second Edition has been updated to include material on subspace methods, non-linear black box models-such as neural networks-and methods that use frequency domain data. Nº de ref. de la librería AAK9780136566953

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Lennart Ljung
Editorial: Pearson Education (US), United States (1999)
ISBN 10: 0136566952 ISBN 13: 9780136566953
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Descripción Pearson Education (US), United States, 1999. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 178 mm. Language: English . Brand New Book. Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and practice of System Identification-the science of building mathematical models of dynamic systems by observing input/output data. It puts the user in focus, giving the necessary background to understand theoretical foundation and emphasizing the practical aspects of the options and choices that face the user. The Second Edition has been updated to include material on subspace methods, non-linear black box models-such as neural networks-and methods that use frequency domain data. Nº de ref. de la librería AAK9780136566953

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Lennart Ljung
Editorial: Pearson Education 1998-12-29, Upper Saddle River, N.J. :|London (1998)
ISBN 10: 0136566952 ISBN 13: 9780136566953
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Descripción Pearson Education 1998-12-29, Upper Saddle River, N.J. :|London, 1998. hardback. Estado de conservación: New. Nº de ref. de la librería 9780136566953

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Lennart Ljung
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Descripción Pearson Education (US), United States, 1999. Hardback. Estado de conservación: New. 2nd Revised edition. 236 x 178 mm. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and practice of System Identification-the science of building mathematical models of dynamic systems by observing input/output data. It puts the user in focus, giving the necessary background to understand theoretical foundation and emphasizing the practical aspects of the options and choices that face the user. The Second Edition has been updated to include material on subspace methods, non-linear black box models-such as neural networks-and methods that use frequency domain data. Nº de ref. de la librería BTE9780136566953

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Ljung, Lennart
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Descripción Prentice Hall. Hardcover. Estado de conservación: New. 0136566952 BRAND NEW W/FAST SHIPPING! This item is: System Identification: Theory for the User, 2nd Ed., 1997, by Ljung, Lennart; FORMAT: Hardcover; ISBN: 9780136566953. Choose Expedited for fastest shipping! Our 98%+ rating proves our commitment! We cannot ship to PO Boxes/APO address. To avoid ordering the wrong item, please check your item's ISBN number!. Nº de ref. de la librería P9780136566953

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Descripción Estado de conservación: New. Bookseller Inventory # ST0136566952. Nº de ref. de la librería ST0136566952

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Descripción Prentice Hall, 1999. Hardcover. Estado de conservación: New. 2. Nº de ref. de la librería DADAX0136566952

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Descripción Pearson Education (US). Hardback. Estado de conservación: new. BRAND NEW, System Identification: Theory for the User (2nd Revised edition), Lennart Ljung, Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and practice of System Identification-the science of building mathematical models of dynamic systems by observing input/output data. It puts the user in focus, giving the necessary background to understand theoretical foundation and emphasizing the practical aspects of the options and choices that face the user. The Second Edition has been updated to include material on subspace methods, non-linear black box models-such as neural networks-and methods that use frequency domain data. Nº de ref. de la librería B9780136566953

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Ljung, L.
Editorial: Pearson Education (US) (1999)
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Descripción Pearson Education (US), 1999. Estado de conservación: New. Suitable for courses in System Identification, this book provides a description of the theory, methodology and practice of System Identification - the science of building mathematical models of dynamic systems by observing input/output data. It includes material on subspace methods, non-linear black box models - such as neural networks. Num Pages: 672 pages, Illustrations. BIC Classification: GPFC; TJ; UY. Category: (U) Tertiary Education (US: College). Dimension: 237 x 183 x 36. Weight in Grams: 1190. . 1999. 2nd Edition. Hardcover. . . . . . Nº de ref. de la librería V9780136566953

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