scholarly journals Parameter identification in unconfined aquifer using extended Kalman filter algorithm.

1993 ◽  
pp. 93-102
Author(s):  
Tetsuo OKUNO ◽  
Makoto SUZUKI
Keyword(s):  
Kalman Filter ◽  
Parameter Identification ◽  
Extended Kalman Filter ◽  
Unconfined Aquifer ◽  
Kalman Filter Algorithm

The p53–Mdm2 regulation relationship under different radiation doses based on the continuous–discrete extended Kalman filter algorithm

2018 ◽  
Vol 273 ◽  
pp. 230-236 ◽  
Author(s):  
Yurong Li ◽  
Jun Chen ◽  
Li Jiang ◽  
Nianyin Zeng ◽  
Haiyan Jiang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Radiation Doses ◽  
Kalman Filter Algorithm

Dynamic Modeling and Parameter Identification for Biological Networks

2011 ◽  
pp. 478-510 ◽  
Author(s):  
Fortunato Bianconi ◽  
Gabriele Lillacci ◽  
Paolo Valigi
Keyword(s):  
Kalman Filter ◽  
Parameter Identification ◽  
Extended Kalman Filter ◽  
Dynamic Modeling ◽  
Biological Networks ◽  
In Silico ◽  
High Gain ◽  
The Other ◽  
Sensitivity Analyses ◽  
Identification Techniques

Then, two different parameter identification techniques are presented for the proposed models. One is based on a least squares procedure, which treats the signals provided by a high gain observer; the other one is based on a Mixed Extended Kalman Filter. Prior to the estimation phase, identifiability and sensitivity analyses are used to determine which parameters can be and/or should be estimated. The procedures are tested and compared by means of data obtained by in silico experiments.

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