검색결과 : 13건
| No. | Article |
|---|---|
| 1 |
Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification Castro-Garcia R, Agudelo OM, Suykens JAK International Journal of Control, 92(4), 908, 2019 |
| 2 |
A two-experiment approach to Wiener system identification Bottegal G, Castro-Garcia R, Suykens JAK Automatica, 93, 282, 2018 |
| 3 |
Hammerstein system identification through best linear approximation inversion and regularisation Castro-Garcia R, Tiels K, Agudelo OM, Suykens JAK International Journal of Control, 91(8), 1757, 2018 |
| 4 |
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis Shang C, Yang F, Gao XQ, Huang XL, Suykens JAK, Huang DX AIChE Journal, 61(11), 3666, 2015 |
| 5 |
Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach Shang C, Huang XL, Suykens JAK, Huang DX Journal of Process Control, 28, 17, 2015 |
| 6 |
LS-SVM approximate solution to linear time varying descriptor systems Mehrkanoon S, Suykens JAK Automatica, 48(10), 2502, 2012 |
| 7 |
Application of a Smoothing Technique to Decomposition in Convex Optimization Necoara I, Suykens JAK IEEE Transactions on Automatic Control, 53(11), 2674, 2008 |
| 8 |
Constrained linear MPC with time-varying terminal cost using convex combinations Pluymers B, Roobrouck L, Buijs J, Suykens JAK, De Moor B Automatica, 41(5), 831, 2005 |
| 9 |
Identification of MIMO Hammerstein models using least squares support vector machines Goethals I, Pelckmans K, Suykens JAK, De Moor B Automatica, 41(7), 1263, 2005 |
| 10 |
Subspace identification of Hammerstein systems using least squares support vector machines Goethals I, Pelckmans K, Suykens JAK, De Moor B IEEE Transactions on Automatic Control, 50(10), 1509, 2005 |