Novel Direct and Accurate Identification of Kalman Filter for General Systems Described by a Box-Jenkins Model-Reference-Cited by-同舟云学术

Novel Direct and Accurate Identification of Kalman Filter for General Systems Described by a Box-Jenkins Model

Published:2019-05-22 Issue: Volume: Page:
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Container-title:Introduction and Implementations of the Kalman Filter
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Author:

Doraiswami Rajamani,Cheded Lahouari

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/64360

Reference19 articles.

1. Ljung L. System Identification: Theory for the User. New Jersey: Prentice-Hall; 1999

2. Doraiswami R, Cheded L. Robust Kalman filter-based least squares identification of a multi variable system. In: IET Control Theory and Applications. The Institution of Engineering and Technology; 2018. pp. 1-11. ISSN 1751-8644, www.ietdl.org

3. Doraiswami R, Diduch C, Stevenson M. Identification of Physical Systems: Applications to Condition Monitoring, Fault Diagnosis, Soft Sensor and Controller Design. United Kingdom: John Wiley and Sons; 2014. ISBN 9781119990123

4. Doraiswami R, Cheded L. Kalman filter for fault detection: An internal model approach. IET Control Theory and Applications. 2012;6(5):1-11

5. Mendel J. Lessons in Estimation Theory in Signal Processing, Communications and Control. Englewood Cliffs, New Jersey: Prentice-Hall; 1995. ISBN0-13120981-7

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