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 | 903 | 2009 |
Survey on stochastic iterative learning control D Shen, Y Wang Journal of Process Control 24 (12), 64-77, 2014 | 228 | 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 | 212 | 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 | 177 | 2014 |
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 | 175 | 2020 |
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 | 171 | 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 | 170 | 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 | 149 | 2006 |
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 | 138 | 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 | 134 | 2010 |
Online monitoring of nonlinear multivariate industrial processes using filtering KICA–PCA J Fan, SJ Qin, Y Wang Control Engineering Practice 22, 205-216, 2014 | 119 | 2014 |
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 | 117 | 2017 |
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 | 117 | 2010 |
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 | 107 | 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 | 106 | 2017 |
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 | 100 | 2020 |
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 | 97 | 2011 |
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 | 91 | 2019 |
An improved fault diagnosis method of rotating machinery using sensitive features and RLS-BP neural network Q Lu, R Yang, M Zhong, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (4), 1585-1593, 2019 | 82 | 2019 |