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 | 142 | 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 | 62 | 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 | 58 | 2019 |
Distributed resource allocation via multi-agent systems under time-varying networks K Lu, H Xu, Y Zheng Automatica 136, 110059, 2022 | 36 | 2022 |
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 | 32 | 2021 |
Distributed algorithm for solving convex inequalities K Lu, G Jing, L Wang IEEE Transactions on Automatic Control 63 (8), 2670-2677, 2017 | 27 | 2017 |
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 | 25 | 2021 |
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 | 25 | 2016 |
Online distributed optimization with nonconvex objective functions via dynamic regrets K Lu, L Wang IEEE Transactions on Automatic Control 68 (11), 6509-6524, 2023 | 15 | 2023 |
A distributed algorithm for solving mixed equilibrium problems K Lu, G Jing, L Wang Automatica 105, 246-253, 2019 | 14 | 2019 |
Online distributed algorithms for online noncooperative games With stochastic cost functions: High probability bound of regrets K Lu IEEE Transactions on Automatic Control, 2024 | 12 | 2024 |
Online distributed learning for aggregative games with feedback delays P Liu, K Lu, F Xiao, B Wei, Y Zheng IEEE Transactions on Automatic Control 68 (10), 6385-6392, 2023 | 10 | 2023 |
Continuous-time distributed optimization with strictly pseudoconvex objective functions H Xu, K Lu Journal of the Franklin Institute 359 (2), 1483-1502, 2022 | 10 | 2022 |
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 | 10 | 2016 |
Convergence in high probability of distributed stochastic gradient descent algorithms K Lu, H Wang, H Zhang, L Wang IEEE Transactions on Automatic Control, 2023 | 9 | 2023 |
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 | 9 | 2020 |
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 | 8 | 2022 |
Game-theoretical approach for task allocation problems with constraints C Liu, K Lu, X Chen, A Szolnoki Applied Mathematics and Computation 458, 128251, 2023 | 7 | 2023 |
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 | 6 | 2019 |
Quantized distributed online projection-free convex optimization W Zhang, Y Shi, B Zhang, K Lu, D Yuan IEEE Control Systems Letters 7, 1837-1842, 2023 | 5 | 2023 |