| Deep GRU neural network prediction and feedforward compensation for precision multiaxis motion control systems C Hu, T Ou, H Chang, Y Zhu, L Zhu IEEE/ASME Transactions on Mechatronics 25 (3), 1377-1388, 2020 | 131 | 2020 |
| GRU-type LARC strategy for precision motion control with accurate tracking error prediction C Hu, T Ou, Y Zhu, L Zhu IEEE Transactions on Industrial Electronics 68 (1), 812-820, 2020 | 79 | 2020 |
| Intelligent feedforward compensation motion control of maglev planar motor with precise reference modification prediction T Ou, C Hu, Y Zhu, M Zhang, L Zhu IEEE Transactions on Industrial Electronics 68 (9), 7768-7777, 2020 | 61 | 2020 |
| Intelligent GRU-RIC position-loop feedforward compensation control method with application to an ultraprecision motion stage R Zhou, C Hu, T Ou, Z Wang, Y Zhu IEEE Transactions on Industrial Informatics 20 (4), 5609-5621, 2023 | 29 | 2023 |
| Selective detection of mixtures via a single nonselective Sensor—Making the unworkable sensor workable by machine learning L Liu, C Hu, T Ou, Z Wang, Y Zhu, N Na Advanced Intelligent Systems 5 (1), 2200136, 2023 | 20 | 2023 |
| Generation mechanism and decoupling strategy of coupling effect in maglev planar motor T Ou, C Hu, Y Zhu, M Zhang IEEE/ASME Transactions on Mechatronics 28 (2), 781-791, 2022 | 19 | 2022 |
| Neural-network feedforward compensation for precision contouring control of multi-axis motion systems C Hu, T Ou, H Chang, Y Zhu, Z Wang 2018 IEEE International Conference on Information and Automation (ICIA), 306-311, 2018 | 4 | 2018 |
| Advanced LARC Strategy of Maglev Planar Motor with GRU Neural Network Prediction T Ou, C Hu, Y Zhu, M Zhang 2022 18th IEEE/ASME International Conference on Mechatronic and Embedded …, 2022 | 1 | 2022 |
Haonan ChangRutgers University, Robotics Ph.D.Verified email at scarletmail.rutgers.edu
