| 1 |
Numerical solution of some initial optimal control problems using the reproducing kernel Hilbert space technique
Isfahani FT, Mokhtari R, Loghmani GB, Mohammadi M
International Journal of Control, 93(6), 1345, 2020 |
| 2 |
Testing if a nonlinear system is additive or not
Cheng C, Bai EW
Automatica, 104, 134, 2019 |
| 3 |
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs
Darwish MAH, Pillonetto G, Toth R
Automatica, 87, 318, 2018 |
| 4 |
Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach
Darwish MAH, Cox PB, Proimadis I, Pillonetto G, Toth R
Automatica, 97, 92, 2018 |
| 5 |
On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power
Gallego-Castillo C, Bessa R, Cavalcante L, Lopez-Garcia O
Energy, 113, 355, 2016 |
| 6 |
Partially-Linear Least-Squares Regularized Regression for System Identification
Xu YL, Chen DR
IEEE Transactions on Automatic Control, 54(11), 2637, 2009 |
| 7 |
Nonlinear filtering with fractional Brownian motion
Amirdjanova A
Applied Mathematics and Optimization, 46(2-3), 81, 2002 |
