| Distributed algorithms for searching generalized Nash equilibrium of noncooperative games K Lu, G Jing, L Wang IEEE transactions on cybernetics 49 (6), 2362-2371, 2018 | 122 | 2018 |
| Online distributed algorithms for seeking generalized Nash equilibria in dynamic environments K Lu, G Li, L Wang IEEE Transactions on Automatic Control 66 (5), 2289-2296, 2020 | 49 | 2020 |
| Online distributed optimization with strongly pseudoconvex-sum cost functions K Lu, G Jing, L Wang IEEE Transactions on Automatic Control 65 (1), 426-433, 2019 | 46 | 2019 |
| Distributed resource allocation via multi-agent systems under time-varying networks K Lu, H Xu, Y Zheng Automatica 136, 110059, 2022 | 25 | 2022 |
| Distributed algorithm for solving convex inequalities K Lu, G Jing, L Wang IEEE Transactions on Automatic Control 63 (8), 2670-2677, 2017 | 24 | 2017 |
| Observer-based feedback control of networked control systems with delays and packet dropouts Q Zhu, K Lu, Y Zhu Journal of Dynamic Systems, Measurement, and Control 138 (2), 021011, 2016 | 24 | 2016 |
| Nonsmooth continuous-time distributed algorithms for seeking generalized Nash equilibria of noncooperative games via digraphs K Lu, Q Zhu IEEE Transactions on Cybernetics 52 (7), 6196-6206, 2021 | 20 | 2021 |
| Online distributed optimization with nonconvex objective functions: Sublinearity of first-order optimality condition-based regret K Lu, L Wang IEEE Transactions on Automatic Control 67 (6), 3029-3035, 2021 | 19 | 2021 |
| A distributed algorithm for solving mixed equilibrium problems K Lu, G Jing, L Wang Automatica 105, 246-253, 2019 | 13 | 2019 |
| Guaranteed cost control of networked control systems under transmission control protocol with active queue management Q Zhu, K Lu, Y Zhu Asian Journal of Control 18 (4), 1546-1557, 2016 | 9 | 2016 |
| Continuous-time distributed optimization with strictly pseudoconvex objective functions H Xu, K Lu Journal of the Franklin Institute 359 (2), 1483-1502, 2022 | 8 | 2022 |
| Distributed algorithms involving fixed step size for mixed equilibrium problems with multiple set constraints K Lu, Q Zhu IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5254-5260, 2020 | 7 | 2020 |
| Online distributed optimization with nonconvex objective functions via dynamic regrets K Lu, L Wang IEEE Transactions on Automatic Control, 2023 | 6 | 2023 |
| Online distributed learning for aggregative games with feedback delays P Liu, K Lu, F Xiao, B Wei, Y Zheng IEEE Transactions on Automatic Control, 2023 | 6 | 2023 |
| Online distributed seeking for first-order Nash equilibria of nonconvex noncooperative games with multiple clusters H Xu, K Lu, T Wang, X Yan, Q Zhu IEEE Transactions on Circuits and Systems II: Express Briefs 70 (2), 621-625, 2022 | 6 | 2022 |
| 分布式优化的多智能体方法 王龙， 卢开红， 关永强 控制理论与应用 36 (11), 1820-1833, 2019 | 5 | 2019 |
| Convergence in high probability of distributed stochastic gradient descent algorithms K Lu, H Wang, H Zhang, L Wang IEEE Transactions on Automatic Control, 2023 | 4 | 2023 |
| Distributed algorithms for solving the convex feasibility problems K Lu, G Jing, L Wang Science China. Information Sciences 63 (8), 189201, 2020 | 4 | 2020 |
| Game-theoretical approach for task allocation problems with constraints C Liu, K Lu, X Chen, A Szolnoki Applied Mathematics and Computation 458, 128251, 2023 | 3 | 2023 |
| Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property K Lu, Q Zhu, X Yan Automatica 141, 110297, 2022 | 3 | 2022 |
