Mohlo by se vám také líbit

Více informací o knize Filtering and System Identification

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 437 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Information theory

• Plný název: Filtering and System Identification
• Podnázev: A Least Squares Approach
• Autor: Michel VerhaegenVincent Verdult
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 422
• EAN: 9780521875127
• ISBN: 0521875129
• ID: 02048490
• Nakladatelství: Cambridge University Press
• Hmotnost: 980 g
• Rozměry: 252 × 182 × 24 mm
• Datum vydání: 26. April 2007

Oblíbené z jiného soudku

---

---

---