| 1 |
System identification in the presence of trends and outliers using sparse optimization
Shirdel AH, Boling JM, Toivonen HT
Journal of Process Control, 44, 120, 2016 |
| 2 |
Fourier state-space analysis of linear discrete-time periodic systems
Toivonen HT, Hietarinta L
Automatica, 53, 136, 2015 |
| 3 |
Support vector method for identification of Wiener models
Totterman S, Toivonen HT
Journal of Process Control, 19(7), 1174, 2009 |
| 4 |
Identification of state-dependent parameter models with support vector regression
Toivonen HT, Totterman S, Akesson B
International Journal of Control, 80(9), 1454, 2007 |
| 5 |
State-dependent parameter modelling and identification of stochastic non-linear sampled-data systems
Akesson BM, Toivonen HT
Journal of Process Control, 16(8), 877, 2006 |
| 6 |
A neural network model predictive controller
Akesson BM, Toivonen HT
Journal of Process Control, 16(9), 937, 2006 |
| 7 |
Neural network approximation of a nonlinear model predictive controller applied to a pH neutralization process
Akesson BM, Toivonen HT, Waller JB, Nystrom RH
Computers & Chemical Engineering, 29(2), 323, 2005 |
| 8 |
Damping of harmonic disturbances in sampled-data systems -parameterization of all optimal controllers
Toivonen HT, Medvedev A
Automatica, 39(1), 75, 2003 |
| 9 |
State-dependent parameter models of non-linear sampled-data systems: a velocity-based linearization approach
Toivonen HT
International Journal of Control, 76(18), 1823, 2003 |
| 10 |
Internal model control of nonlinear systems described by velocity-based linearizations
Toivonen HT, Sandstrom KV, Nystrom RH
Journal of Process Control, 13(3), 215, 2003 |
