| Event-triggered adaptive dynamic programming for continuous-time systems with control constraints L Dong, X Zhong, C Sun, H He IEEE Transactions on Neural Networks and Learning Systems 28 (8), 1941-1952, 2016 | 198 | 2016 |
| Adaptive event-triggered control based on heuristic dynamic programming for nonlinear discrete-time systems L Dong, X Zhong, C Sun, H He IEEE transactions on neural networks and learning systems 28 (7), 1594-1605, 2016 | 189 | 2016 |
| An event-triggered approach for load frequency control with supplementary ADP L Dong, Y Tang, H He, C Sun IEEE Transactions on Power Systems 32 (1), 581-589, 2016 | 173 | 2016 |
| Cooperative control for multi-player pursuit-evasion games with reinforcement learning Y Wang, L Dong, C Sun Neurocomputing 412, 101-114, 2020 | 129 | 2020 |
| A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures L Dong, Z He, C Song, C Sun Journal of Systems Engineering and Electronics 34 (2), 439-459, 2023 | 90 | 2023 |
| Adaptive control based on neural networks for an uncertain 2-DOF helicopter system with input deadzone and output constraints Y Ouyang, L Dong, L Xue, C Sun IEEE/CAA Journal of Automatica Sinica 6 (3), 807-815, 2019 | 86 | 2019 |
| Functional nonlinear model predictive control based on adaptive dynamic programming L Dong, J Yan, X Yuan, H He, C Sun IEEE transactions on cybernetics 49 (12), 4206-4218, 2018 | 84 | 2018 |
| Reinforcement learning with task decomposition for cooperative multiagent systems C Sun, W Liu, L Dong IEEE transactions on neural networks and learning systems 32 (5), 2054-2065, 2020 | 80 | 2020 |
| Neural network-based finite-time distributed formation-containment control of two-layer quadrotor UAVs Y Ouyang, L Xue, L Dong, C Sun IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (8), 4836-4848, 2021 | 74 | 2021 |
| Asynchronous multithreading reinforcement-learning-based path planning and tracking for unmanned underwater vehicle Z He, L Dong, C Sun, J Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 2757-2769, 2021 | 65 | 2021 |
| Critic learning-based control for robotic manipulators with prescribed constraints Y Ouyang, L Dong, C Sun IEEE Transactions on Cybernetics 52 (4), 2274-2283, 2020 | 50 | 2020 |
| Adaptive nonsingular terminal sliding mode control design for near space hypersonic vehicles R Zhang, L Dong, C Sun IEEE/CAA Journal of Automatica Sinica 1 (2), 155-161, 2014 | 48 | 2014 |
| Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design Y Ouyang, L Dong, Y Wei, C Sun Neurocomputing 409, 286-295, 2020 | 44 | 2020 |
| Actor–critic learning based coordinated control for a dual-arm robot with prescribed performance and unknown backlash-like hysteresis Y Ouyang, C Sun, L Dong ISA transactions 126, 1-13, 2022 | 33 | 2022 |
| Multiagent soft actor-critic based hybrid motion planner for mobile robots Z He, L Dong, C Song, C Sun IEEE transactions on neural networks and learning systems 34 (12), 10980-10992, 2022 | 32 | 2022 |
| Economic Model Predictive Control of a Point Absorber Wave Energy Converter Y Jia, K Meng, L Dong, T Liu, C Sun, ZY Dong IEEE Transactions on Sustainable Energy 12 (1), 578-586, 2020 | 24 | 2020 |
| Data-based optimal tracking of autonomous nonlinear switching systems X Li, L Dong, C Sun IEEE/CAA Journal of Automatica Sinica 8 (1), 227-238, 2020 | 23 | 2020 |
| Event-triggered receding horizon control via actor-critic design L Dong, X Yuan, C Sun Science China Information Sciences 63 (5), 150210, 2020 | 18 | 2020 |
| A Local-and-Global Attention Reinforcement Learning Algorithm for Multiagent Cooperative Navigation C Song, Z He, L Dong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features W Liu, L Dong, D Niu, C Sun IEEE/CAA Journal of Automatica Sinica 9 (9), 1673-1686, 2022 | 16 | 2022 |
Haibo HeUniversity of Rhode IslandVerified email at uri.edu
