| Game theory and machine learning in uavs-assisted wireless communication networks: A survey M Zhou, Y Guan, M Hayajneh, K Niu, C Abdallah arXiv preprint arXiv:2108.03495, 2021 | 23 | 2021 |
| Deep transfer learning for system identification using long short-term memory neural networks K Niu, M Zhou, CT Abdallah, M Hayajneh arXiv preprint arXiv:2204.03125, 2022 | 14 | 2022 |
| Generalized euler-lagrange equation: A challenge to schwartz’s distribution theory M Zhou, EI Verriest 2022 American Control Conference (ACC), 4951-4956, 2022 | 9 | 2022 |
| A novel sliding mode control method for underactuated overhead cranes M Zhou, N Sun, H Chen, Y Fang 2017 Chinese Automation Congress (CAC), 4548-4552, 2017 | 9 | 2017 |
| A model-free optimal control method M Zhou, E Verriest, C Abdallah SoutheastCon 2024, 948-954, 2024 | 6 | 2024 |
| Jump law of co-state in optimal control for state-dependent switched systems and applications M Zhou, EI Verriest, Y Guan, C Abdallah arXiv preprint arXiv:2209.12775, 2022 | 6 | 2022 |
| Shaping large population agent behaviors through entropy-regularized mean-field games Y Guan, M Zhou, A Pakniyat, P Tsiotras 2022 American Control Conference (ACC), 4429-4435, 2022 | 5 | 2022 |
| Optimal control for state-dependent switched time-delayed systems E Verriest, M Zhou, C Abdallah IFAC-PapersOnLine 55 (36), 85-90, 2022 | 4 | 2022 |
| The effect of training parameters and mechanisms on decentralized federated learning based on MNIST dataset Z Zhang, M Zhou, K Niu, C Abdallah arXiv preprint arXiv:2108.03508, 2021 | 2 | 2021 |
| Joint access selection and bandwidth allocation methods: Evolutionary game M Zhou, Y Guan, K Niu, M Hayajneh, CT Abdallah 2021 International Wireless Communications and Mobile Computing (IWCMC …, 2021 | 2 | 2021 |
| A Model-Free Optimal Control Method with Fixed Terminal States M Zhou, E Verriest, C Abdallah SoutheastCon 2025, 649-655, 2025 | 1 | 2025 |
| Energy Optimal Control of a Harmonic Oscillator with a State Inequality Constraint M Zhou, EI Verriest, C Abdallah 2024 American Control Conference (ACC), 3662-3667, 2024 | 1 | 2024 |
| Finite Horizon Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems M Zhou arXiv preprint arXiv:2312.04767, 2023 | 1 | 2023 |
| A Flexible Rope Crane Control Method N Sun, J Zhang, T Yang, Y Fu, M Zhou 2018 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2018 | 1 | 2018 |
| Learning Robust Regions of Attraction Using Rollout-Enhanced Physics-Informed Neural Networks with Policy Iteration J Wang, Y Zhao, M Zhou, F Zhang arXiv preprint arXiv:2508.19398, 2025 | | 2025 |
| Piecewise Reinforcement Learning for Hybrid Systems M Zhou, J Li, M Mortazavi, N Yan, C Abdallah 2025 11th International Conference on Control, Decision and Information …, 2025 | | 2025 |
| Optimal Control of State-Dependent Switched Systems M Zhou Georgia Institute of Technology, 2025 | | 2025 |
| A Model-Free Optimal Control Method With Fixed Terminal States and Delay M Zhou, E Verriest, C Abdallah arXiv preprint arXiv:2409.10722, 2024 | | 2024 |
| Finite Horizon Multi-Agent Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems M Zhou, J Li, M Mortazavi, N Yan, C Abdallah arXiv e-prints, arXiv: 2312.04767, 2023 | | 2023 |
| Data-Driven Newton Raphson Controller Based on Koopman Operator Theory M Zhou arXiv preprint arXiv:2309.17315, 2023 | | 2023 |