| An overview of dynamic-linearization-based data-driven control and applications Z Hou, R Chi, H Gao IEEE Transactions on Industrial Electronics 64 (5), 4076-4090, 2016 | 402 | 2016 |
| Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition R Chi, Z Hou, J Xu Automatica 44 (8), 2207-2213, 2008 | 340 | 2008 |
| Data-driven optimal terminal iterative learning control R Chi, D Wang, Z Hou, S Jin Journal of Process Control 22 (10), 2026-2037, 2012 | 129 | 2012 |
| A unified data-driven design framework of optimality-based generalized iterative learning control R Chi, Z Hou, B Huang, S Jin Computers & Chemical Engineering 77, 10-23, 2015 | 124 | 2015 |
| Dual-stage optimal iterative learning control for nonlinear non-affine discrete-time systems CHI Rong-Hu, HOU Zhong-Sheng Acta Automatica Sinica 33 (10), 1061-1065, 2007 | 123 | 2007 |
| Computationally efficient data-driven higher order optimal iterative learning control R Chi, Z Hou, S Jin, B Huang IEEE transactions on neural networks and learning systems 29 (12), 5971-5980, 2018 | 109 | 2018 |
| Extended state observer-based data-driven iterative learning control for permanent magnet linear motor with initial shifts and disturbances Y Hui, R Chi, B Huang, Z Hou IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (3), 1881-1891, 2019 | 89 | 2019 |
| An iterative learning control design approach for networked control systems with data dropouts B Xuhui, H Zhongsheng, J Shangtai, C Ronghu International Journal of Robust and Nonlinear Control 26 (1), 91-109, 2016 | 88 | 2016 |
| Constrained data-driven optimal iterative learning control R Chi, X Liu, R Zhang, Z Hou, B Huang Journal of Process Control 55, 10-29, 2017 | 84 | 2017 |
| Discrete-time extended state observer-based model-free adaptive control via local dynamic linearization R Chi, Y Hui, S Zhang, B Huang, Z Hou IEEE Transactions on Industrial Electronics 67 (10), 8691-8701, 2019 | 75 | 2019 |
| An improved data-driven point-to-point ILC using additional on-line control inputs with experimental verification R Chi, Z Hou, S Jin, B Huang IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (4), 687-696, 2017 | 75 | 2017 |
| Data‐driven high‐order terminal iterative learning control with a faster convergence speed R Chi, B Huang, Z Hou, S Jin International Journal of Robust and Nonlinear Control 28 (1), 103-119, 2018 | 59 | 2018 |
| Adjacent-agent dynamic linearization-based iterative learning formation control R Chi, Y Hui, B Huang, Z Hou IEEE Transactions on Cybernetics 50 (10), 4358-4369, 2019 | 58 | 2019 |
| Data‐driven terminal iterative learning control with high‐order learning law for a class of non‐linear discrete‐time multiple‐input–multiple output systems R Chi, Y Liu, Z Hou, S Jin IET Control Theory & Applications 9 (7), 1075-1082, 2015 | 58 | 2015 |
| 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 | 57 | 2022 |
| A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory R Chi, Z Hou, S Jin Journal of the Franklin Institute 352 (6), 2407-2424, 2015 | 57 | 2015 |
| A data-driven iterative feedback tuning approach of ALINEA for freeway traffic ramp metering with PARAMICS simulations R Chi, Z Hou, S Jin, D Wang, J Hao IEEE Transactions on Industrial Informatics 9 (4), 2310-2317, 2013 | 54 | 2013 |
| Enhanced data-driven optimal terminal ILC using current iteration control knowledge R Chi, Z Hou, S Jin, D Wang, CJ Chien IEEE Transactions on Neural Networks and Learning Systems 26 (11), 2939-2948, 2015 | 51 | 2015 |
| Data-driven terminal iterative learning consensus for nonlinear multiagent systems with output saturation X Bu, J Liang, Z Hou, R Chi IEEE transactions on neural networks and learning systems 32 (5), 1963-1973, 2020 | 50 | 2020 |
| Event-triggered model-free adaptive control N Lin, R Chi, B Huang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3358-3369, 2019 | 49 | 2019 |
