| 1 |
Output-relevant Variational autoencoder for Just-in-time soft sensor modeling with missing data
Guo F, Bai WT, Huang B
Journal of Process Control, 92, 90, 2020 |
| 2 |
Variational Bayesian approach for ARX systems with missing observations and varying time-delays
Chen J, Huang B, Ding F, Gu Y
Automatica, 94, 194, 2018 |
| 3 |
Optimal Estimation With Missing Observations via Balanced Time-Symmetric Stochastic Models
Georgiou TT, Lindquist A
IEEE Transactions on Automatic Control, 62(11), 5590, 2017 |
| 4 |
Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data
Chen L, Khatibisepehr S, Huang B, Liu F, Ding YS
AIChE Journal, 61(10), 3270, 2015 |
| 5 |
A PARTICLE FILTER APPROACH TO IDENTIFICATION OF NONLINEAR PROCESSES UNDER MISSING OBSERVATIONS
Gopaluni RB
Canadian Journal of Chemical Engineering, 86(6), 1081, 2008 |
| 6 |
Robust minimum variance linear state estimators for multiple sensors with different failure rates
Hounkpevi FO, Yaz EE
Automatica, 43(7), 1274, 2007 |
| 7 |
Parameter estimation in stochastic grey-box models
Kristensen NR, Madsen H, Jorgensen SB
Automatica, 40(2), 225, 2004 |
