| 1 |
MPC relevant identification method for Hammerstein and Wiener models
Quachio R, Garcia C
Journal of Process Control, 80, 78, 2019 |
| 2 |
Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models
Ramazi P, Hjalmarsson H, Martensson J
Automatica, 50(6), 1675, 2014 |
| 3 |
Finite model order accuracy in Hammerstein model estimation
Hjalmarsson H, Martensson J
Automatica, 48(10), 2640, 2012 |
| 4 |
A new approach for nonlinear process identification using orthonormal bases and ordinal splines
MacArthur JW
Journal of Process Control, 22(2), 375, 2012 |
| 5 |
On-line set-point optimisation and predictive control using neural Hammerstein models
Lawrynczuk M
Chemical Engineering Journal, 166(1), 269, 2011 |
| 6 |
Identification of uncertain MIMO Wiener and Hammerstein models
Biagiola SI, Figueroa JL
Computers & Chemical Engineering, 35(12), 2867, 2011 |
| 7 |
Design of truncated maximum length ternary signals where their squared versions have uniform even harmonics
Tan AH
IEEE Transactions on Automatic Control, 52(5), 957, 2007 |
| 8 |
Wiener-Hammerstein modeling of nonlinear effects in bilinear systems
Tan AH
IEEE Transactions on Automatic Control, 51(4), 648, 2006 |
| 9 |
Approximation of the feasible parameter set in worst-case identification of Hammerstein models
Falugia P, Giarre L, Zappa G
Automatica, 41(6), 1017, 2005 |
| 10 |
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 |
