Zhixing Cao
Zhixing Cao
Professor at East China University of Science and Technology
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Linear mapping approximation of gene regulatory networks with stochastic dynamics
Z Cao, R Grima
Nature Communications 9, 2018
582018
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
422017
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
292014
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
282017
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
252020
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
252017
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
242014
Iterative learning Kalman filter for repetitive processes
Z Cao, J Lu, R Zhang, F Gao
Journal of Process Control 46, 92-104, 2016
222016
Multipoint iterative learning model predictive control
J Lu, Z Cao, F Gao
IEEE Transactions on Industrial Electronics 66 (8), 6230-6240, 2018
212018
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
202015
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
202015
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
172016
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
162015
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
142019
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
132017
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
132014
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
122014
Online average-based system modelling method for batch process
Z Cao, J Lu, R Zhang, F Gao
Computers & Chemical Engineering, 2017
112017
Stochastic modeling of auto-regulatory genetic feedback loops: a review and comparative study
J Holehouse, Z Cao, R Grima
Biophysical Journal, 2020
102020
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