| Adaptive boundary iterative learning control for an Euler–Bernoulli beam system with input constraint W He, T Meng, D Huang, X Li IEEE transactions on neural networks and learning systems 29 (5), 1539-1549, 2017 | 214 | 2017 |
| An iterative learning control approach for linear systems with randomly varying trial lengths X Li, JX Xu, D Huang IEEE Transactions on Automatic Control 59 (7), 1954-1960, 2013 | 205 | 2013 |
| D-type anticipatory iterative learning control for a class of inhomogeneous heat equations D Huang, JX Xu, X Li, C Xu, M Yu Automatica 49 (8), 2397-2408, 2013 | 152 | 2013 |
| Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths X Li, JX Xu, D Huang International Journal of Adaptive Control and Signal Processing 29 (11 …, 2015 | 117 | 2015 |
| Iterative learning control with input sharing for multi-agent consensus tracking XL Shiping Yang, Jian-Xin Xu Systems & Control Letters 94 (2016), 97-106, 2016 | 110 | 2016 |
| Precise speed tracking control of a robotic fish via iterative learning control X Li, Q Ren, JX Xu IEEE Transactions on Industrial Electronics 63 (4), 2221-2228, 2015 | 107 | 2015 |
| Two novel iterative learning control schemes for systems with randomly varying trial lengths X Li, D Shen Systems & Control Letters 107, 9-16, 2017 | 74 | 2017 |
| 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 | 67 | 2019 |
| Robust iterative learning control for systems with norm‐bounded uncertainties X Li, D Huang, B Chu, JX Xu International Journal of Robust and Nonlinear Control 26 (4), 697-718, 2016 | 64 | 2016 |
| Iterative learning control of inhomogeneous distributed parameter systems—Frequency domain design and analysis D Huang, X Li, JX Xu, C Xu, W He Systems & Control Letters 72, 22-29, 2014 | 56 | 2014 |
| Torque-leveling threshold-changing rule-based control for parallel hybrid electric vehicles X Li, SA Evangelou IEEE Transactions on Vehicular Technology 68 (7), 6509-6523, 2019 | 53 | 2019 |
| Iterative learning control for multi-agent systems coordination S Yang, JX Xu, X Li, D Shen John Wiley & Sons, 2017 | 48 | 2017 |
| A data-driven motion control approach for a robotic fish Q Ren, J Xu, X Li Journal of Bionic Engineering 12 (3), 382-394, 2015 | 44 | 2015 |
| Distributed cooperative fault-tolerant control of high-speed trains with input saturation and actuator faults L Zhu, X Li, D Huang, H Dong, L Cai IEEE Transactions on Intelligent Vehicles 8 (2), 1241-1251, 2022 | 43 | 2022 |
| A mathematical prognosis model for pancreatic cancer patients receiving immunotherapy X Li, JX Xu Journal of theoretical biology 406, 42-51, 2016 | 41 | 2016 |
| Sampled‐data iterative learning control for continuous‐time nonlinear systems with iteration‐varying lengths L Wang, X Li, D Shen International Journal of Robust and Nonlinear Control 28 (8), 3073-3091, 2018 | 35 | 2018 |
| Adaptive iterative learning control for MIMO nonlinear systems performing iteration-varying tasks X Li, D Shen, JX Xu Journal of the Franklin Institute 356 (16), 9206-9231, 2019 | 29 | 2019 |
| Lifted system framework for learning control with different trial lengths XF Li, JX Xu International Journal of Automation and Computing 12, 273-280, 2015 | 27 | 2015 |
| Iterative learning control for boundary tracking of uncertain nonlinear wave equations D Huang, X Li, W He, S Zhang Journal of the Franklin Institute 355 (17), 8441-8461, 2018 | 26 | 2018 |
| Robust adaptive learning-based path tracking control of autonomous vehicles under uncertain driving environments X Li, C Liu, B Chen, J Jiang IEEE Transactions on Intelligent Transportation Systems 23 (11), 20798-20809, 2022 | 21 | 2022 |
Deqing HuangImperial College LondonEmail verificata su imperial.ac.uk