| 1 |
Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality
Bai EW, Cheng CM, Zhao WX
Automatica, 101, 138, 2019 |
| 2 |
Testing if a nonlinear system is additive or not
Cheng C, Bai EW
Automatica, 104, 134, 2019 |
| 3 |
Ranking the importance of variables in nonlinear system identification
Cheng CM, Bai EW
Automatica, 103, 472, 2019 |
| 4 |
Consistent Variable Selection for a Nonparametric Nonlinear System by Inverse and Contour Regressions
Cheng CM, Bai EW, Peng ZK
IEEE Transactions on Automatic Control, 64(7), 2653, 2019 |
| 5 |
An instrumental least squares support vector machine for nonlinear system identification
Laurain V, Toth R, Piga D, Zheng WX
Automatica, 54, 340, 2015 |
| 6 |
Kernel based approaches to local nonlinear non-parametric variable selection
Bai EW, Li K, Zhao WX, Xu WY
Automatica, 50(1), 100, 2014 |
| 7 |
Tracking maximum efficiency of hydrogen genset used as electric vehicle range extender
Kere LJ, Kelouwani S, Agbossou K, Dube Y, Henao N, Courteau R
International Journal of Hydrogen Energy, 39(7), 3433, 2014 |
| 8 |
A New Identification Framework for Off-Line Computation of Moving-Horizon Observers
Alamir M
IEEE Transactions on Automatic Control, 58(7), 1877, 2013 |
| 9 |
Stochastic Gradient Descent on Riemannian Manifolds
Bonnabel S
IEEE Transactions on Automatic Control, 58(9), 2217, 2013 |
| 10 |
Modelling and uncertainties characterization for robust control
Figueroa JL, Biagiola SI
Journal of Process Control, 23(3), 415, 2013 |
