An on-line extended Kalman filtering technique for reconstructing the transient heat flux and temperature field in two-dimensional participating media

2020 ◽  
Vol 148 ◽  
pp. 106069 ◽  
Author(s):  
Shuang Wen ◽  
Hong Qi ◽  
Yang Li ◽  
Ya-Tao Ren ◽  
Li-Ming Ruan
Keyword(s):  
Heat Flux ◽  
Temperature Field ◽  
Kalman Filtering ◽  
Two Dimensional ◽  
Extended Kalman Filtering ◽  
Participating Media ◽  
On Line ◽  
Filtering Technique ◽  
Transient Heat Flux

Extended Kalman Filtering Technique for the On-line Control of Candida Utilis Production

1985 ◽  
Vol 18 (17) ◽  
pp. 185-189 ◽  
Author(s):  
M. Ghoul ◽  
M.-N. Pons ◽  
J.-M. Engasser ◽  
J. Bordet
Keyword(s):  
Kalman Filtering ◽  
Candida Utilis ◽  
Extended Kalman Filtering ◽  
On Line ◽  
Filtering Technique

Extended Kalman Filtering technique for the on-line control of OKT3 hybridoma cultures

1991 ◽  
Vol 5 (5) ◽  
Author(s):  
Mohamed Ghoul ◽  
Michel Dardenne ◽  
Christian Fonteix ◽  
Annie Marc
Keyword(s):  
Kalman Filtering ◽  
Extended Kalman Filtering ◽  
On Line ◽  
Filtering Technique

scholarly journals Kalman filtering for dynamic motion and model estimation

2021 ◽  
Author(s):  
Randal Schumacher.
Keyword(s):  
Kalman Filtering ◽  
Vision System ◽  
Target Position ◽  
Model Estimation ◽  
Mass Center ◽  
Extended Kalman Filtering ◽  
Dynamic Motion ◽  
Filtering Technique ◽  
Time Determination

The fundamental task of a space vision system for rendezvous, capture, and servicing of satellites on-orbit is the real-time determination of the motion of the target vehicle as observed on-board a chaser vehicle. Augmenting the architecture to incorporate the highly regarded Kalman filtering technique can synthesize a system that is more capable, more efficient and more robust. A filter was designed and testing was conducted in an inertial environment and then in a more realistic relative motion orbital rendezvous scenario. The results indicate that a Dynamic Motion Filter based on extended Kalman filtering can provide the vision system routines with excellent initialization leading to faster convergence, reliable pose estimation at slower sampling rates, and the ability to estimate target position, velocity, orientation, angular velocity, and mass center location.

Heat Flux and Temperature Field Estimation Using Differential Interferometer

2010 ◽  
Vol 132 (9) ◽  
Author(s):  
S. Prasanna ◽  
S. P. Venkateshan
Keyword(s):  
Heat Flux ◽  
Temperature Field ◽  
Fourier Transforms ◽  
Gradient Field ◽  
Two Dimensional ◽  
Convective Heat Flux ◽  
Field Temperature ◽  
Field Estimation ◽  
Least Squares Approach

A new methodology based on least-squares approach has been developed to estimate the temperature field from an interferogram recorded using a Differential interferometer (DI). The interferograms are digitally evaluated using two dimensional Fourier transforms to retrieve the temperature gradient field. Temperature field is constructed by fitting a cubic spline to the first derivatives data. The methodology has been applied to both experimental and synthetic interferograms. Both convective heat flux and temperature field were predicted accurately. The role of image noise and errors in the temperature measurements on the temperature field estimation have been studied with the aid of synthetic interferograms.

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