| Deterministic policy gradient with integral compensator for robust quadrotor control Y Wang, J Sun, H He, C Sun IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (10), 3713-3725, 2019 | 155 | 2019 |
| Cooperative control for multi-player pursuit-evasion games with reinforcement learning Y Wang, L Dong, C Sun Neurocomputing 412, 101-114, 2020 | 102 | 2020 |
| Learning to navigate through complex dynamic environment with modular deep reinforcement learning Y Wang, H He, C Sun IEEE Transactions on Games 10 (4), 400-412, 2018 | 98 | 2018 |
| Cooperative USV–UAV marine search and rescue with visual navigation and reinforcement learning-based control Y Wang, W Liu, J Liu, C Sun ISA transactions 137, 222-235, 2023 | 52 | 2023 |
| Fixed-time event-triggered synchronization of a multilayer Kuramoto-oscillator network J Sun, J Liu, Y Wang, Y Yu, C Sun Neurocomputing 379, 214-226, 2020 | 39 | 2020 |
| Nonlinear robust compensation method for trajectory tracking control of quadrotors J Sun, Y Wang, Y Yu, C Sun IEEE Access 7, 26766-26776, 2019 | 22 | 2019 |
| Fixed‐time consensus of multi‐agent systems with directed and intermittent communications Q Wang, Y Wang, C Sun Asian Journal of Control 19 (1), 95-105, 2017 | 22 | 2017 |
| Deep reinforcement learning for economic energy scheduling in data center microgrids X Yang, Y Wang, H He, C Sun, Y Zhang 2019 IEEE power & energy society general meeting (PESGM), 1-5, 2019 | 12 | 2019 |
| Autonomous landing scene recognition based on transfer learning for drones H Du, W Wang, X Wang, Y Wang Journal of systems engineering and electronics 34 (1), 28-35, 2023 | 8 | 2023 |
| Deterministic policy gradient with advantage function for fixed wing uav automatic landing X Yuan, Y Sun, Y Wang, C Sun 2019 Chinese Control Conference (CCC), 8305-8310, 2019 | 8 | 2019 |
| Action mapping: A reinforcement learning method for constrained-input systems X Yuan, Y Wang, J Liu, C Sun IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7145-7157, 2022 | 7 | 2022 |
| Path Following Control for Unmanned Surface Vehicles: A Reinforcement Learning-Based Method With Experimental Validation Y Wang, J Cao, J Sun, X Zou, C Sun IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Dynamic event-triggered control for fixed-time synchronization of Kuramoto-oscillator networks with and without a pacemaker J Sun, Y Wang, Y Wu, Y Zhou, J Liu Nonlinear Dynamics 111 (11), 10147-10162, 2023 | 5 | 2023 |
| Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks K Jiang, W Liu, Y Wang, L Dong, C Sun Applied Intelligence 53 (23), 29205-29222, 2023 | 3 | 2023 |
| Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference G Cheng, Y Wang, L Dong, W Cai, C Sun Neural Computing and Applications 35 (22), 16247-16265, 2023 | 3 | 2023 |
| Event-triggered fixed-time phase agreement of kuramoto-oscillators with switching topologies J Sun, Y Yu, Y Wang, J Liu, C Sun 2020 39th Chinese Control Conference (CCC), 4572-4577, 2020 | 3 | 2020 |
| Distributed formation control for multi-quadrotor system Y Wang, J Sun, Q Wang, L Dong 2019 Chinese Control Conference (CCC), 6076-6081, 2019 | 3 | 2019 |
| Fixed-time consensus of multi-agent systems over undirected networks Q Wang, Y Wang 2016 35th Chinese Control Conference (CCC), 7775-7779, 2016 | 3 | 2016 |
| Attention-based Value Classification Reinforcement Learning for Collision-free Robot Navigation C Sun, X Wu, Y Wang, C Sun IEEE Transactions on Intelligent Vehicles, 2024 | 2 | 2024 |
| Cooperative control with designated convergence rate for high-order integrators under heterogeneous couplings Q Wang, Y Wang, C Sun Journal of the Franklin Institute 358 (9), 4626-4642, 2021 | 2 | 2021 |
Lu DongSoutheast University在 seu.edu.cn 的电子邮件经过验证
