A comparison of nonlinear filtering approaches in the context of anHIV model
In this paper three different filtering methods, the ExtendedKalman Filter (EKF), the Gauss-Hermite Filter (GHF), and theUnscented Kalman Filter (UKF), are compared for state-only andcoupled state and parameter estimation when used with log statevariables of a model of the immunologic response to th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2010-03-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.213 |
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