Deep learning of Koopman representation for control Y Han, W Hao, U Vaidya 2020 59th IEEE Conference on Decision and Control (CDC), 1890-1895, 2020 | 96 | 2020 |
Data driven control with learned dynamics: model-based versus model-free approach W Hao, Y Han arXiv preprint arXiv:2006.09543, 2020 | 10 | 2020 |
Deep Koopman learning of nonlinear time-varying systems W Hao, B Huang, W Pan, D Wu, S Mou Automatica 159, 111372, 2024 | 7 | 2024 |
Cell a* for navigation of unmanned aerial vehicles in partially-known environments W Hao, R Wang, A Krolicki, Y Han arXiv preprint arXiv:2009.07404, 2020 | 2 | 2020 |
Data-Driven Control with Learned Dynamics W Hao Clemson University, 2020 | 1 | 2020 |
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles J Li, H Park, W Hao, L Xin, J Chavez-Galaviz, A Chaudhary, M Bloss, ... arXiv preprint arXiv:2403.05972, 2024 | | 2024 |
A Data-Driven Approach for Inverse Optimal Control Z Liang, W Hao, S Mou 2023 62nd IEEE Conference on Decision and Control (CDC), 3632-3637, 2023 | | 2023 |
Adaptive Policy Learning to Additional Tasks W Hao, Z Lu, Z Liang, T Zhou, S Mou arXiv preprint arXiv:2305.15193, 2023 | | 2023 |
Policy Learning based on Deep Koopman Representation W Hao, PC Heredia, B Huang, Z Lu, Z Liang, S Mou arXiv preprint arXiv:2305.15188, 2023 | | 2023 |