Youqing Wang
Cited by
Cited by
Survey on iterative learning control, repetitive control, and run-to-run control
Y Wang, F Gao, FJ Doyle III
Journal of Process Control 19 (10), 1589-1600, 2009
Survey on stochastic iterative learning control
D Shen, Y Wang
Journal of Process Control 24 (12), 64-77, 2014
Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008–2017
Y Wang, Y Si, B Huang, Z Lou
The Canadian Journal of Chemical Engineering 96 (10), 2073-2085, 2018
Closed-Loop Control of Artificial Pancreatic -Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control
Y Wang, E Dassau, FJ Doyle
IEEE Transactions on Biomedical Engineering 57 (2), 211-219, 2009
Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis
J Fan, Y Wang
Information Sciences 259, 369-379, 2014
Iterative learning model predictive control for multi-phase batch processes
Y Wang, D Zhou, F Gao
Journal of Process Control 18 (6), 543-557, 2008
Key-performance-indicator-related process monitoring based on improved kernel partial least squares
Y Si, Y Wang, D Zhou
IEEE Transactions on Industrial Electronics 68 (3), 2626-2636, 2020
Iterative learning fault-tolerant control for batch processes
Y Wang, J Shi, D Zhou, F Gao
Industrial & engineering chemistry research 45 (26), 9050-9060, 2006
Fault diagnosis of rolling bearings based on an improved stack autoencoder and support vector machine
M Cui, Y Wang, X Lin, M Zhong
IEEE Sensors Journal 21 (4), 4927-4937, 2020
On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths
D Shen, W Zhang, Y Wang, CJ Chien
Automatica 63, 359-365, 2016
IMC-based iterative learning control for batch processes with uncertain time delay
T Liu, F Gao, Y Wang
Journal of Process Control 20 (2), 173-180, 2010
Quest for the artificial pancreas: combining technology with treatment
RA Harvey, Y Wang, B Grosman, MW Percival, W Bevier, DA Finan, ...
IEEE Engineering in Medicine and Biology Magazine 29 (2), 53-62, 2010
Unbiased minimum variance fault and state estimation for linear discrete time-varying two-dimensional systems
Y Wang, D Zhao, Y Li, SX Ding
IEEE Transactions on Automatic Control 62 (10), 5463-5469, 2017
Online monitoring of nonlinear multivariate industrial processes using filtering KICA–PCA
J Fan, SJ Qin, Y Wang
Control Engineering Practice 22, 205-216, 2014
Active fault-tolerant control for a class of nonlinear systems with sensor faults
Y Wang, D Zhou, SJ Qin, H Wang
International Journal of Control, Automation, and Systems 6 (3), 339-350, 2008
Control performance assessment for ILC-controlled batch processes in a 2-D system framework
Y Wang, H Zhang, S Wei, D Zhou, B Huang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1493-1504, 2017
Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters
MW Percival, Y Wang, B Grosman, E Dassau, H Zisser, L Jovanovič, ...
Journal of process control 21 (3), 391-404, 2011
Multistep dynamic slow feature analysis for industrial process monitoring
X Ma, Y Si, Z Yuan, Y Qin, Y Wang
IEEE Transactions on Instrumentation and Measurement 69 (12), 9535-9548, 2020
On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: A least squares method
D Zhao, SX Ding, HR Karimi, Y Li, Y Wang
Automatica 99, 203-212, 2019
A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes
T Liu, Y Wang
Automatica 48 (11), 2762-2775, 2012
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