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Lowest price: 46.24 €, highest price: 78.73 €, average price: 60.52 €
Filtering and System Identification - Michel Verhaegen
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Michel Verhaegen:
Filtering and System Identification - new book

ISBN: 9780511276514

ID: 9780511276514

A Least Squares Approach Filtering and system identification are powerful techniques for building models of complex systems. This book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical, and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at cambridge.org/9780521875127. Filtering and System Identification: Filtering and system identification are powerful techniques for building models of complex systems. This book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical, and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at cambridge.org/9780521875127., Cambridge University Press

New book Rheinberg-Buch.de
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Filtering and System Identification - Verhaegen,Michel
book is out-of-stock
(*)
Verhaegen,Michel:
Filtering and System Identification - new book

4, ISBN: 9780511276514

ID: 101159780511276514

Filtering and system identification are powerful techniques for building models of complex systems. This book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise stat Filtering and system identification are powerful techniques for building models of complex systems. This book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical, and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at www. cambridge.org/9780521875127. Differential Equations, Mathematics, Filtering and System Identification~~ Verhaegen,Michel~~Differential Equations~~Mathematics~~9780511276514, en, Filtering and System Identification, Verhaegen,Michel, 9780511276514, Cambridge University Press, 04/01/2007, , , , Cambridge University Press, 04/01/2007

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Filtering And System Identification - Cambridge University Press
book is out-of-stock
(*)
Cambridge University Press:
Filtering And System Identification - new book

2007, ISBN: 9780511276514

ID: 5585632

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within. Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at www. cambridge.org/9780521875127. eBooks, , Filtering And System Identification~~EBook~~9780511276514~~Michel Verhaegen, Vincent Verdult, , Filtering And System Identification, Michel Verhaegen, 9780511276514, Cambridge University Press, 04/26/2007, , , , Cambridge University Press

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MPN: , SKU 5585632 Shipping costs:zzgl. Versandkosten, plus shipping costs
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Filtering And System Identification - Michel Verhaegen
book is out-of-stock
(*)
Michel Verhaegen:
Filtering And System Identification - new book

ISBN: 9780511276514

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at www. cambridge.org/9780521875127. eBooks Filtering And System Identification~~EBook~~9780511276514~~Michel Verhaegen, Vincent Verdult Filtering And System Identification

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Filtering and System Identification - Michel Verhaegen;  Vincent Verdult
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Michel Verhaegen; Vincent Verdult:
Filtering and System Identification - First edition

2007, ISBN: 9780511276514

ID: 26205424

A Least Squares Approach, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Cambridge University Press]

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