STATE ESTIMATION PROBLEMS IN HEAT TRANSFER
Resampling
Recursive Bayesian estimation
Bayes estimator
DOI:
10.1615/int.j.uncertaintyquantification.2012003582
Publication Date:
2012-02-05T22:54:00Z
AUTHORS (7)
ABSTRACT
The objective of this paper is to introduce applications Bayesian filters state estimation problems in heat transfer. A brief description within the framework presented. Kalman filter, as well following algorithms particle filter: sampling importance resampling and auxiliary resampling, are discussed applied practical
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