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 | 46 | 2014 |

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 | 45 | 2018 |

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 | 32 | 2013 |

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 | 30 | 2014 |

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, 1-8, 2017 | 28 | 2017 |

Iterative learning Kalman filter for repetitive processes Z Cao, J Lu, R Zhang, F Gao Journal of Process Control 46, 92-104, 2016 | 23 | 2016 |

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 | 22 | 2019 |

Multi-point Iterative Learning Model Predictive Control J Lu, Z Cao, F Gao IEEE Transactions on Industrial Electronics, 2018 | 22 | 2018 |

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 | 22 | 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 | 21 | 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 | 20 | 2015 |

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 | 16 | 2015 |

Online average-based system modelling method for batch process Z Cao, J Lu, R Zhang, F Gao Computers & Chemical Engineering 108, 128-138, 2018 | 11 | 2018 |

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 | 10 | 2016 |

*110th Anniversary:* An Overview on Learning-Based Model Predictive Control for Batch ProcessesJ Lu, Z Cao, C Zhao, F Gao Industrial & Engineering Chemistry Research 58 (37), 17164-17173, 2019 | 9 | 2019 |

Batch process control-overview and outlook J Lu, Z Cao, F Gao Acta Autom. Sinica 43 (7), 933-943, 2017 | 9 | 2017 |

Ellipsoid invariant set-based robust model predictive control for repetitive processes with constraints J Lu, Z Cao, F Gao IET Control Theory & Applications 10 (9), 1018-1026, 2016 | 8 | 2016 |

The 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, 2019 | 7 | 2019 |

Two-time dimensional recursive system identification incorporating priori pole and zero knowledge Z Cao, R Zhang, J Lu, F Gao Journal of Process Control 39, 100-110, 2016 | 7 | 2016 |

A stable two-time dimensional (2D) Model Predictive Control with zero terminal state constraints for constrained batch processes J Lu, Z Cao, F Gao 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015 …, 2015 | 7* | 2015 |