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
875 2009 Survey on stochastic iterative learning control D Shen, Y Wang
Journal of Process Control 24 (12), 64-77, 2014
214 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
201 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
183 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
171 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
163 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
150 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
144 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
134 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
131 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
130 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
114 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
113 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
112 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
105 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
101 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
93 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
90 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
87 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
78 2012