Filtering and System Identification

Author: Michel Verhaegen
Edition: 1
Binding: Kindle Edition
ISBN: B001APGR4M

Filtering and System Identification: A Least Squares Approach

Filtering and system identification are powerful techniques for building models of complex systems. Get Filtering and System Identification computer books for free.
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 Check Filtering and System Identification our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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