Stochastic EM algorithm for nonlinear state estimation with model uncertainties

2003 ◽  
Author(s):  
Amin Zia ◽  
Thiagalingam Kirubarajan ◽  
James P. Reilly ◽  
Shahram Shirani
Keyword(s):  
Em Algorithm ◽  
State Estimation ◽  
Model Uncertainties ◽  
Stochastic Em Algorithm ◽  
Nonlinear State Estimation ◽  
Nonlinear State ◽  
Stochastic Em

An EM Algorithm for Nonlinear State Estimation With Model Uncertainties

2008 ◽  
Vol 56 (3) ◽  
pp. 921-936 ◽  
Author(s):  
Amin Zia ◽  
Thia Kirubarajan ◽  
James P. Reilly ◽  
Derek Yee ◽  
Kumaradevan Punithakumar ◽  
...  
Keyword(s):  
Em Algorithm ◽  
State Estimation ◽  
Model Uncertainties ◽  
Nonlinear State Estimation ◽  
Nonlinear State

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Scaling Factor ◽  
Estimation Accuracy ◽  
Nonlinear State Estimation ◽  
Cubature Kalman Filter ◽  
Novel Method ◽  
Simulation Results ◽  
Tracking Filter ◽  
Nonlinear State

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

Nonlinear state estimation of packed-bed tubular reactors

AIChE Journal ◽  
1979 ◽  
Vol 25 (4) ◽  
pp. 718-720 ◽  
Author(s):  
M. A. Soliman ◽  
W. Harmon Ray
Keyword(s):  
State Estimation ◽  
Packed Bed ◽  
Tubular Reactors ◽  
Nonlinear State Estimation ◽  
Nonlinear State
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