| Distributed Nash Equilibrium Seeking by A Consensus Based Approach M Ye, G Hu IEEE Transactions on Automatic Control, 2017 | 327 | 2017 |
| Game design and analysis for price-based demand response: An aggregate game approach M Ye, G Hu IEEE transactions on cybernetics 47 (3), 720-730, 2016 | 242 | 2016 |
| Distributed time-varying quadratic optimization for multiple agents under undirected graphs C Sun, M Ye, G Hu IEEE Transactions on Automatic Control 62 (7), 3687-3694, 2017 | 134 | 2017 |
| Distributed extremum seeking for constrained networked optimization and its application to energy consumption control in smart grid M Ye, G Hu IEEE Transactions on Control Systems Technology 24 (6), 2048-2058, 2016 | 118 | 2016 |
| Nash equilibrium seeking for N-coalition noncooperative games M Ye, G Hu, FL Lewis Automatica 95, 266-272, 2018 | 108 | 2018 |
| Data-driven dynamical control for bottom-up energy Internet system H Hua, Z Qin, N Dong, Y Qin, M Ye, Z Wang, X Chen, J Cao IEEE Transactions on Sustainable Energy 13 (1), 315-327, 2021 | 96 | 2021 |
| Consensus analysis of hybrid multiagent systems: a game‐theoretic approach J Ma, M Ye, Y Zheng, Y Zhu International Journal of Robust and Nonlinear Control 29 (6), 1840-1853, 2019 | 95 | 2019 |
| Distributed Nash equilibrium seeking in multiagent games under switching communication topologies M Ye, G Hu IEEE Transactions on Cybernetics 48 (11), 3208-3217, 2017 | 81 | 2017 |
| Distributed economic dispatch control via saddle point dynamics and consensus algorithms L Bai, M Ye, C Sun, G Hu IEEE Transactions on Control Systems Technology 27 (2), 898-905, 2017 | 80 | 2017 |
| A Unified Strategy for Solution Seeking in Graphical -Coalition Noncooperative Games M Ye, G Hu, FL Lewis, L Xie IEEE Transactions on Automatic Control 64 (11), 4645-4652, 2019 | 74 | 2019 |
| An extremum seeking-based approach for Nash equilibrium seeking in N-cluster noncooperative games M Ye, G Hu, S Xu Automatica 114, 108815, 2020 | 72 | 2020 |
| Distributed Nash equilibrium seeking for games in systems with bounded control inputs M Ye IEEE Transactions on Automatic Control 66 (8), 3833-3839, 2020 | 66 | 2020 |
| Distributed robust seeking of Nash equilibrium for networked games: An extended state observer-based approach M Ye IEEE Transactions on Cybernetics 52 (3), 1527-1538, 2020 | 58 | 2020 |
| Distributed Nash equilibrium seeking for general networked games with bounded disturbances M Ye, D Li, QL Han, L Ding IEEE/CAA Journal of Automatica Sinica 10 (2), 376-387, 2022 | 55 | 2022 |
| Differentially private distributed Nash equilibrium seeking for aggregative games M Ye, G Hu, L Xie, S Xu IEEE Transactions on Automatic Control 67 (5), 2451-2458, 2021 | 51 | 2021 |
| Distributed Nash equilibrium seeking in games with partial decision information: A survey M Ye, QL Han, L Ding, S Xu Proceedings of the IEEE 111 (2), 140-157, 2023 | 45 | 2023 |
| Adaptive approaches for fully distributed Nash equilibrium seeking in networked games M Ye, G Hu Automatica 129, 109661, 2021 | 37 | 2021 |
| A robust extremum seeking scheme for dynamic systems with uncertainties and disturbances M Ye, G Hu Automatica 66, 172-178, 2016 | 27 | 2016 |
| Stochastic optimal energy storage management for energy routers via compressive sensing H Liang, H Hua, Y Qin, M Ye, S Zhang, J Cao IEEE Transactions on Industrial Informatics 18 (4), 2192-2202, 2021 | 25 | 2021 |
| On distributed Nash equilibrium computation: Hybrid games and a novel consensus-tracking perspective M Ye, L Yin, G Wen, Y Zheng IEEE Transactions on Cybernetics 51 (10), 5021-5031, 2020 | 22 | 2020 |
