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
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
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (24)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....