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This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems.
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Descrizione del libro
This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models built using filtering and system identification techniques. Homework-problems, MATLAB simulations and numerous illustrations, make this ideal for graduate students, researchers and practitioners in engineering disciplines. Additional resources, including solutions, are available online at www.cambridge.org/9780521875127.
Contenuti
Preface; 1. Introduction; 2. Linear algebra; 3. Discrete-time signals and systems; 4. Random variables and signals; 5. Kalman filtering; 6. Estimation of spectra and frequency response functions; 7. Output-error parametric model estimation; 8. Prediction-error parametric model estimation; 9. Subspace model identification; 10. The system identification cycle; Notation and symbols; List of abbreviations; References; Index.
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Filtering and System Identification: A Least Squares Approach
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Filtering and System Identification: A Least Squares Approach
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Hardcover. Condizione: Brand New. 1st edition. 405 pages. 9.50x6.75x0.75 inches. In Stock. This item is printed on demand. Codice articolo __0521875129
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Filtering and System Identification (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2007
ISBN 10: 0521875129
ISBN 13: 9780521875127
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Hardcover. Condizione: new. Hardcover. 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 This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780521875127
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Filtering and System Identification
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems.Über den AutorMichel Verhaegen is professor and co-director of the Delft Center for Systems and Contr. Codice articolo 446951733
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Filtering and System Identification (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2007
ISBN 10: 0521875129
ISBN 13: 9780521875127
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Da: CitiRetail, Stevenage, Regno Unito
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Hardcover. Condizione: new. Hardcover. 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 This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521875127
Quantità: 1 disponibili
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Filtering and System Identification: A Least Squares Approach
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-0521875129
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Filtering and System Identification: A Least Squares Approach
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Filtering and System Identification: A Least Squares Approach
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 889. Codice articolo C9780521875127
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Filtering and System Identification (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2007
ISBN 10: 0521875129
ISBN 13: 9780521875127
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Da: Grand Eagle Retail, Mason, OH, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. 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 This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521875127
Quantità: 1 disponibili
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Filtering and System Identification: A Least Squares Approach
Editore:
Cambridge University Press, 2007
ISBN 10: 0521875129
ISBN 13: 9780521875127
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