| Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method X Tang, C Zou, K Yao, J Lu, Y Xia, F Gao Applied Energy 254, 113591, 2019 | 118 | 2019 |
| Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes J Lu, Z Cao, R Zhang, F Gao IEEE Transactions on Industrial Electronics 65 (7), 5826-5836, 2018 | 91 | 2018 |
| Multipoint iterative learning model predictive control J Lu, Z Cao, F Gao IEEE Transactions on Industrial Electronics 66 (8), 6230-6240, 2018 | 66 | 2018 |
| Battery incremental capacity curve extraction by a two-dimensional Luenberger–Gaussian-moving-average filter X Tang, K Liu, J Lu, B Liu, X Wang, F Gao Applied Energy 280, 115895, 2020 | 61 | 2020 |
| A systematic min–max optimization design of constrained model predictive tracking control for industrial processes against uncertainty R Zhang, S Wu, Z Cao, J Lu, F Gao IEEE Transactions on Control Systems Technology 26 (6), 2157-2164, 2017 | 56 | 2017 |
| State space model predictive fault-tolerant control for batch processes with partial actuator failure R Zhang, J Lu, H Qu, F Gao Journal of Process Control 24 (5), 613-620, 2014 | 56 | 2014 |
| Synthesis of ILC–MPC controller with data-driven approach for constrained batch processes D Li, S He, Y Xi, T Liu, F Gao, Y Wang, J Lu IEEE Transactions on Industrial Electronics 67 (4), 3116-3125, 2019 | 46 | 2019 |
| Synthesis of Real-Time-Feedback-Based 2D Iterative Learning Control–Model Predictive Control for Constrained Batch Processes with Unknown Input Nonlinearity D Li, Y Xi, J Lu, F Gao Industrial & Engineering Chemistry Research 55 (51), 13074-13084, 2016 | 41 | 2016 |
| 110th Anniversary: An Overview on Learning-Based Model Predictive Control for Batch Processes J Lu, Z Cao, C Zhao, F Gao Industrial & Engineering Chemistry Research 58 (37), 17164-17173, 2019 | 40 | 2019 |
| Constrained two dimensional recursive least squares model identification for batch processes Z Cao, Y Yang, J Lu, F Gao Journal of Process Control 24 (6), 871-879, 2014 | 40 | 2014 |
| New design of state space linear quadratic fault-tolerant tracking control for batch processes with partial actuator failure R Zhang, L Gan, J Lu, F Gao Industrial & Engineering Chemistry Research 52 (46), 16294-16300, 2013 | 37 | 2013 |
| Iterative learning Kalman filter for repetitive processes Z Cao, J Lu, R Zhang, F Gao Journal of Process Control 46, 92-104, 2016 | 35 | 2016 |
| Discrete-time robust iterative learning kalman filtering for repetitive processes Z Cao, R Zhang, Y Yang, J Lu, F Gao IEEE Transactions on Automatic Control 61 (1), 270-275, 2016 | 34 | 2016 |
| A two-stage design of two-dimensional model predictive iterative learning control for nonrepetitive disturbance attenuation J Lu, Z Cao, Z Wang, F Gao Industrial & Engineering Chemistry Research 54 (21), 5683-5689, 2015 | 32 | 2015 |
| Batch process control-overview and outlook J Lu, Z Cao, F Gao Acta Automatica Sinica 43 (6), 933-943, 2017 | 29 | 2017 |
| Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics J Lu, Z Cao, Q Hu, Z Xu, W Du, F Gao IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (1), 680-692, 2020 | 23 | 2020 |
| Online average-based system modelling method for batch process Z Cao, J Lu, R Zhang, F Gao Computers & Chemical Engineering 108, 128-138, 2018 | 20 | 2018 |
| Two-time-dimensional model predictive control of weld line positioning in bi-injection molding Z Cao, Y Yang, J Lu, F Gao Industrial & Engineering Chemistry Research 54 (17), 4795-4804, 2015 | 18 | 2015 |
| Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation J Lu, AS Leong, DE Quevedo International Journal of Robust and Nonlinear Control, 2020 | 14 | 2020 |
| Online identification for batch processes in closed loop incorporating priori controller knowledge Z Cao, R Zhang, J Lu, F Gao Computers & Chemical Engineering 90, 222-233, 2016 | 14 | 2016 |
