| Survey on stochastic iterative learning control D Shen, Y Wang Journal of Process Control 24 (12), 64-77, 2014 | 228 | 2014 |
| Iterative learning control with incomplete information: A survey D Shen IEEE/CAA Journal of Automatica Sinica 5 (5), 885-901, 2018 | 145 | 2018 |
| 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 | 135 | 2016 |
| Adaptive learning control for nonlinear systems with randomly varying iteration lengths D Shen, JX Xu IEEE transactions on neural networks and learning systems 30 (4), 1119-1132, 2018 | 120 | 2018 |
| Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints D Shen, JX Xu Automatica 97, 64-72, 2018 | 106 | 2018 |
| Iterative learning control for discrete nonlinear systems with randomly iteration varying lengths D Shen, W Zhang, JX Xu Systems & Control Letters 96, 81-87, 2016 | 98 | 2016 |
| Learning control for motion coordination in wafer scanners: toward gain adaptation F Song, Y Liu, D Shen, L Li, J Tan IEEE Transactions on Industrial Electronics 69 (12), 13428-13438, 2022 | 83 | 2022 |
| A novel Markov chain based ILC analysis for linear stochastic systems under general data dropouts environments D Shen, JX Xu IEEE Transactions on Automatic Control 62 (11), 5850-5857, 2016 | 83 | 2016 |
| Enhanced P-type control: Indirect adaptive learning from set-point updates R Chi, H Li, D Shen, Z Hou, B Huang IEEE Transactions on Automatic Control 68 (3), 1600-1613, 2022 | 72 | 2022 |
| Two novel iterative learning control schemes for systems with randomly varying trial lengths X Li, D Shen Systems & Control Letters 107, 9-16, 2017 | 72 | 2017 |
| Two‐step principal component analysis for dynamic processes monitoring Z Lou, D Shen, Y Wang The Canadian Journal of Chemical Engineering 96 (1), 160-170, 2018 | 69 | 2018 |
| A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis D Shen, X Li Annual Reviews in Control 48, 89-102, 2019 | 66 | 2019 |
| Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays D Zhao, D Shen, Y Wang International Journal of Robust and Nonlinear Control 27 (16), 3296-3320, 2017 | 65 | 2017 |
| ILC for networked nonlinear systems with unknown control direction through random lossy channel D Shen, Y Wang Systems & Control Letters 77, 30-39, 2015 | 65 | 2015 |
| Iterative Learning Control for Discrete-time Stochastic Systems with Quantized Information YX Dong Shen IEEE/CAA Journal of Automatica Sinica 3 (1), 59-67, 2016 | 61 | 2016 |
| Iterative learning control: Practical implementation and automation SS Saab, D Shen, M Orabi, D Kors, RH Jaafar IEEE Transactions on Industrial Electronics 69 (2), 1858-1866, 2021 | 60 | 2021 |
| Iterative learning control for networked stochastic systems with random packet losses D Shen, Y Wang International Journal of Control 88 (5), 959-968, 2015 | 59 | 2015 |
| Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators Y Tao, D Shen, Y Wang, Y Ye Journal of the Franklin Institute 352 (11), 4721-4740, 2015 | 56 | 2015 |
| Learning formation control for fractional‐order multiagent systems D Luo, JR Wang, D Shen Mathematical Methods in the Applied Sciences 41 (13), 5003-5014, 2018 | 55 | 2018 |
| Two updating schemes of iterative learning control for networked control systems with random data dropouts D Shen, C Zhang, Y Xu Information Sciences 381, 352-370, 2017 | 55 | 2017 |
