| 1 |
The Weighted Nearest Neighbor Estimate for Hammerstein System Identification
Greblicki M, Pawlak M
IEEE Transactions on Automatic Control, 64(4), 1550, 2019 |
| 2 |
Adaptive amplitude fast proportional integral phasor extremum seeking control for a class of nonlinear system
Atta KT, Guay M
Journal of Process Control, 83, 147, 2019 |
| 3 |
Adaptive amplitude fast proportional integral phasor extremum seeking control for a class of nonlinear system
Atta KT, Guay M
Journal of Process Control, 83, 147, 2019 |
| 4 |
OUTPUT CONSENSUS OF NETWORKED HAMMERSTEIN AND WIENER SYSTEMS
Feng WH, Chen HF
SIAM Journal on Control and Optimization, 57(2), 1230, 2019 |
| 5 |
Kernel-based identification of Wiener-Hammerstein system
Mzyk G, Wachel P
Automatica, 83, 275, 2017 |
| 6 |
Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality
Mu BQ, Chen HF, Wang LY, Yin G, Zheng WX
IEEE Transactions on Automatic Control, 62(7), 3277, 2017 |
| 7 |
Linear approximation and identification of MIMO Wiener-Hammerstein systems
Katayama T, Ase H
Automatica, 71, 118, 2016 |
| 8 |
Convergence analysis for recursive Hammerstein identification
Mattsson P, Wigren T
Automatica, 71, 179, 2016 |
| 9 |
System identification applied to stiction quantification in industrial control loops: A comparative study
di Capaci RB, Scali C, Pannocchia G
Journal of Process Control, 46, 11, 2016 |
| 10 |
Minimum modelling retrospective cost adaptive control of uncertain Hammerstein systems using auxiliary nonlinearities
Yan J, Bernstein DS
International Journal of Control, 87(3), 483, 2014 |
