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Robust fault detection method accounting for modelling errors in uncertain systems : Oh-Kyu Kwon, W.H. Kwon, J.H. Lee, pp 377–382


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
137 KB
Volume
3
Category
Article
ISSN
0967-0661

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✦ Synopsis


A random sampling algorithm for nonlinear state estimation is formulated. Special cases of the algorithm are presented. A continuous Markov process is defined, along with a measurement distribution. From these, the posterior distribution on the states is derived, The sampling algorithm generates realizations from this distribution.

A parallel implementation of the algorithm is presented. An application discussed is the problem of tracking radar targets using data from multiple sensors.


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