| 1 |
Deep-learning modeling and control optimization framework for intelligent thermal power plants: A practice on superheated steam temperature
Wang Q, Pan L, Lee KY, Wu Z
Korean Journal of Chemical Engineering, 38(10), 1983, 2021 |
| 2 |
A numerical investigation of direct and indirect closed-loop architectures for estimating nonminimum-phase zeros
Sobolic FM, Aljanaideh KF, Bernstein DS
International Journal of Control, 93(6), 1251, 2020 |
| 3 |
Energy efficiency optimization of ethylene production process with respect to a novel FLPEM-based material-product nexus
Gong SX, Shao C, Zhu L
International Journal of Energy Research, 43(8), 3528, 2019 |
| 4 |
Identification of structured state-space models
Yu CP, Ljung L, Verhaegen M
Automatica, 90, 54, 2018 |
| 5 |
Quantized identification of ARMA systems with colored measurement noise
Yu CP, You KY, Xie LH
Automatica, 66, 101, 2016 |
| 6 |
A Prediction Error Method-Based Self-Commissioning Scheme for Parameter Identification of Induction Motors in Sensorless Drives
Ruan JY, Wang SM
IEEE Transactions on Energy Conversion, 30(1), 384, 2015 |
| 7 |
Combined frequency-prediction error identification approach for Wiener systems with backlash and backlash-inverse operators
Giri F, Radouane A, Brouri A, Chaoui FZ
Automatica, 50(3), 768, 2014 |
| 8 |
Use Hausdorff metric to analyze convergence of parameter estimation in system identification
Yan ZB, Chen CY
Automatica, 50(8), 2163, 2014 |
| 9 |
Soft sensors for online steam quality measurements of OTSGs
Xie L, Zhao Y, Aziz D, Jin X, Geng LT, Goberdhansingh E, Qi F, Huang B
Journal of Process Control, 23(7), 990, 2013 |
| 10 |
The cost of complexity in system identification: The Output Error case
Rojas CR, Barenthin M, Welsh JS, Hjalmarsson H
Automatica, 47(9), 1938, 2011 |
