| 1 |
Recursive identification for multi-input-multi-output Hammerstein-Wiener system
Bai J, Mao ZZ, Pu TC
International Journal of Control, 92(6), 1457, 2019 |
| 2 |
Magnetic sensor-based simultaneous state and parameter estimation using a nonlinear observer
Wang Y, Madson R, Rajamani R
International Journal of Control, 92(11), 2639, 2019 |
| 3 |
OUTPUT CONSENSUS OF NETWORKED HAMMERSTEIN AND WIENER SYSTEMS
Feng WH, Chen HF
SIAM Journal on Control and Optimization, 57(2), 1230, 2019 |
| 4 |
Identification of Wiener systems with quantized inputs and binary-valued output observations
Guo J, Wang LY, Yin G, Zhao YL, Zhang JF
Automatica, 78, 280, 2017 |
| 5 |
Wiener system modelling by exponentially weighted aggregation
Wachel P
International Journal of Control, 90(11), 2480, 2017 |
| 6 |
Identifiability and convergence analysis of the MINLIP estimator
Dai L, Pelckmans K, Bai EW
Automatica, 51, 104, 2015 |
| 7 |
Recursive Identification of MIMO Wiener Systems
Mu BQ, Chen HF
IEEE Transactions on Automatic Control, 58(3), 802, 2013 |
| 8 |
Recursive identification for Hammerstein-Wiener systems with dead-zone input nonlinearity
Yu F, Mao ZZ, Jia MX
Journal of Process Control, 23(8), 1108, 2013 |
| 9 |
Robust model predictive control of Wiener systems
Biagiola SI, Figueroa JL
International Journal of Control, 84(3), 432, 2011 |
| 10 |
Study of the LTI relations between the outputs of two coupled Wiener systems and its application to the generation of initial estimates for Wiener-Hammerstein systems
Schoukens J, Pintelon R, Enqvist M
Automatica, 44(7), 1654, 2008 |
