| 1 |
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning
de Rozario R, Oomen T
Automatica, 107, 342, 2019 |
| 2 |
Stable inversion of LPTV systems with application in position-dependent and non-equidistantly sampled systems
van Zundert J, Oomen T
International Journal of Control, 92(5), 1022, 2019 |
| 3 |
Enhancing feedforward controller tuning via instrumental variables: with application to nanopositioning
Boeren F, Bruijnen D, Oomen T
International Journal of Control, 90(4), 746, 2017 |
| 4 |
Optimality and flexibility in Iterative Learning Control for varying tasks
van Zundert J, Bolder J, Oomen T
Automatica, 67, 295, 2016 |
| 5 |
Inferential Iterative Learning Control: A 2D-system approach
Bolder J, Oomen T
Automatica, 71, 247, 2016 |
| 6 |
Bi-Orthonormal Polynomial Basis Function Framework With Applications in System Identification
van Herpen R, Bosgra O, Oomen T
IEEE Transactions on Automatic Control, 61(11), 3285, 2016 |
| 7 |
Optimally conditioned instrumental variable approach for frequency-domain system identification
van Herpen R, Oomen T, Steinbuch M
Automatica, 50(9), 2281, 2014 |
| 8 |
Controlling aliased dynamics in motion systems? An identification for sampled-data control approach
Oomen T
International Journal of Control, 87(7), 1406, 2014 |
| 9 |
System identification for achieving robust performance
Oomen T, Bosgra O
Automatica, 48(9), 1975, 2012 |
| 10 |
Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems
Rijlaarsdam D, Oomen T, Nuij P, Schoukens J, Steinbuch M
Automatica, 48(9), 2381, 2012 |
