| 1 |
An Iterative Learning Control Algorithm With Gain Adaptation for Stochastic Systems
Shen D, Xu JX
IEEE Transactions on Automatic Control, 65(3), 1280, 2020 |
| 2 |
Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking
Qiu WW, Xiong ZH, Zhang J, Hong YD, Li WZ
Journal of Process Control, 85, 41, 2020 |
| 3 |
An integrated robust iterative learning control strategy for batch processes based on 2D system
Zhou LM, Jia L, Wang YL, Peng DG, Tan WD
Journal of Process Control, 85, 136, 2020 |
| 4 |
Static pressure set-point reset smoothing scheme based-on improved iterative learning control and variable trajectory for air-conditioning system
Yan XY, Guo PJ, Zhang SX, Yan XL, Liu C
Journal of Process Control, 91, 63, 2020 |
| 5 |
Latent variable iterative learning model predictive control for multivariable control of batch processes
Li XW, Zhao ZG, Liu F
Journal of Process Control, 94, 1, 2020 |
| 6 |
Convergence analysis of feedback-based iterative learning control with input saturation
Sebastian G, Tan Y, Oetomo D
Automatica, 101, 44, 2019 |
| 7 |
An optimal stochastic multivariable PID controller: a direct output tracking approach
Saab SS
International Journal of Control, 92(3), 623, 2019 |
| 8 |
PI based indirect-type iterative learning control for batch processes with time-varying uncertainties: A 2D FM model based approach
Hao SL, Liu T, Gao FR
Journal of Process Control, 78, 57, 2019 |
| 9 |
A two-dimensional design of model predictive control for batch processes with two-dimensional (2D) dynamics using extended non-minimal state space structure
Wu S, Zhang RD
Journal of Process Control, 81, 172, 2019 |
| 10 |
Point-to-point iterative learning model predictive control
Oh SK, Park BJ, Lee JM
Automatica, 89, 135, 2018 |
