Abstract
If some system parameters such as certain elements of the system matrix are not precisely known or gradually change with time, then the Kalman filtering algorithm cannot be directly applied. In this case, robust Kalman filtering that has the ability of handling uncertainty is needed. In this chapter we introduce one of such robust Kalman filtering algorithms.
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© 2009 Springer-Verlag Berlin Heidelberg
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(2009). Kalman Filtering for Interval Systems. In: Kalman Filtering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87849-0_10
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DOI: https://doi.org/10.1007/978-3-540-87849-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87848-3
Online ISBN: 978-3-540-87849-0
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