Nonlinear State Estimation and Model Predictive Control of Nitrogen Purification Columns

2005 ◽  
Vol 44 (1) ◽  
pp. 153-167 ◽  
Author(s):  
Shoujun Bian ◽  
Michael A. Henson ◽  
Paul Belanger ◽  
Lawrence Megan
2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan

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.


Author(s):  
N. Muthukumar ◽  
K. Ramkumar ◽  
Seshadhri Srinivasan ◽  
G. Saravanakumar ◽  
B. Subathra

2021 ◽  
Vol 54 (6) ◽  
pp. 107-112
Author(s):  
Pramod Ubare ◽  
Deepak Ingole ◽  
D.N. Sonawane

2008 ◽  
Vol 41 (2) ◽  
pp. 1448-1453
Author(s):  
Felipe Núñez ◽  
Sergio Navarro ◽  
Alberto Aguado ◽  
Aldo Cipriano

2005 ◽  
Author(s):  
M.L. Graham ◽  
K.F. Gong ◽  
N.A. Jackson ◽  
J.G. Baylog

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