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Modal parameter estimation using interacting Kalman filter
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DOI：10.1016/j.ymssp.2012.11.005.png)
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Abstract
En 中文
The focus of this paper is Bayesian modal parameter recursive estimation based on an interacting Kalman filter algorithm with decoupled distributions for frequency and damping. Interacting Kalman filter is a combination of two widely used Bayesian estimation methods: the particle filter and the Kalman filter. Some sensitivity analysis techniques are also proposed in order to deduce a recursive estimate of modal parameters from the estimates of the damping/stiffness coefficients. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Time varying systems
Parameter estimation
Sensitivity analysis
Particle filter
Interacting Kalman filter
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