Download Instructor Resources of Filtering and System Identification - Instructor Resources (Solutions File + Other Resources)
Multiple Formats Please note that by purchasing this product, you will only receive instructor resources related to the book. This product does not include the book itself. by Michel Verhaegen , Vincent Verdult
Information
Format: Multiple Formats Language: English Publisher: Cambridge University Press Publication Date of the Electronic Edition: 2012
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ISBN: 9781107405028, 1107405025, 9780521875127, 9780511276514
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Description
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. Uses a least squares approach with emphasis on numerical implementation, making the topic more accessible and reducing the gap between theory and practice MATLAB simulations allow hands-on experience in applying the theory End-of-chapter homework problems, with solutions for instructors available online, make this a valuable resource for students
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Delivery time: Instant