| Linear mapping approximation of gene regulatory networks with stochastic dynamics Z Cao, R Grima Nature Communications 9, 2018 | 58 | 2018 |
| 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, 2017 | 42 | 2017 |
| 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 | 29 | 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, 2017 | 28 | 2017 |
| Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells Z Cao, R Grima Proceedings of the National Academy of Sciences 117 (9), 4682-4692, 2020 | 25 | 2020 |
| Design of fractional order modeling based extended non-minimal state space MPC for temperature in an industrial electric heating furnace R Zhang, Q Zou, Z Cao, F Gao Journal of Process Control 56, 13-22, 2017 | 25 | 2017 |
| New PID controller design using extended nonminimal state space model based predictive functional control structure R Zhang, Z Cao, C Bo, P Li, F Gao Industrial & Engineering Chemistry Research 53 (8), 3283-3292, 2014 | 24 | 2014 |
| Iterative learning Kalman filter for repetitive processes Z Cao, J Lu, R Zhang, F Gao Journal of Process Control 46, 92-104, 2016 | 22 | 2016 |
| Multipoint iterative learning model predictive control J Lu, Z Cao, F Gao IEEE Transactions on Industrial Electronics 66 (8), 6230-6240, 2018 | 21 | 2018 |
| 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 |
| 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, 2015 | 20 | 2015 |
| Iterative learning and extremum seeking for repetitive time-varying mappings Z Cao, HB Dürr, C Ebenbauer, F Allgöwer, F Gao IEEE Transactions on Automatic Control 62 (7), 3339-3353, 2016 | 17* | 2016 |
| Priori knowledge-based online batch-to-batch identification in a closed loop and an application to injection molding Z Cao, Y Yang, H Yi, F Gao Industrial & Engineering Chemistry Research 55 (32), 8818-8829, 2016 | 17 | 2016 |
| 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 |
| Accuracy of parameter estimation for auto-regulatory transcriptional feedback loops from noisy data Z Cao, R Grima Journal of The Royal Society Interface 16 (153), 20180967, 2019 | 14 | 2019 |
| Extremum seeking control for personalized zone adaptation in model predictive control for type 1 diabetes Z Cao, R Gondhalekar, E Dassau, FJ Doyle IEEE Transactions on Biomedical Engineering 65 (8), 1859-1870, 2017 | 13 | 2017 |
| State-space predictive-p control for liquid level in an industrial coke fractionation tower R Zhang, Z Cao, R Lu, P Li, F Gao ieee transactions on automation science and engineering 12 (4), 1516-1524, 2014 | 13 | 2014 |
| Design and implementation of an improved linear quadratic regulation control for oxygen content in a coke furnace R Zhang, Z Cao, P Li, F Gao IET Control Theory & Applications 8 (14), 1303-1311, 2014 | 12 | 2014 |
| Online average-based system modelling method for batch process Z Cao, J Lu, R Zhang, F Gao Computers & Chemical Engineering, 2017 | 11 | 2017 |
| Stochastic modeling of auto-regulatory genetic feedback loops: a review and comparative study J Holehouse, Z Cao, R Grima Biophysical Journal, 2020 | 10 | 2020 |
Furong GaoHong Kong University of Science and TechnologyVerified email at ust.hk
