卢开红

发布时间:2022-03-16 浏览量:

卢开红,1990年生,四川南充人。博士、讲师、硕士生导师。2019博士毕业于西安电子科技大学,师从北京大学王龙教授。目前主要从事分布式优化方面的研究工作。作为人工智能的基础理论与核心技术,分布式优化在无人机系统、智能交通、智能电网等诸多领域有着广阔的应用前景。本人研究了动态环境中具有时变目标函数的在线分布式优化问题和非合作博弈问题,提出了一系列在线分布式算法,并对算法的收敛性进行了证明。近五年,以第一作者身份在影响因子大于5的期刊上录用、发表相关研究成果的论文10余篇,其中7篇录用、发表在自动控制领域国际公认的两大顶级期刊IEEE Transactions on Automatic Control及Automatica上。

研究兴趣

分布式优化、在线优化、非合作博弈

代表性论文

 Kaihong Lu, Guangqi Li, and Long Wang. Online distributed algorithms for seeking generalized Nash equilibria in dynamic environments. IEEE Transactions on Automatic Control, 2021, 66(5): 2289-2296.

Kaihong Lu and Long Wang. Online Distributed Optimization with Nonconvex Objective Functions: Sublinearity of First-order Optimality Condition-based Regret. IEEE Transactions on Automatic Control, 2021, doi 10.1109/TAC. 2021.3091096.

Kaihong Lu, Gangshan Jing, and Long Wang. Online Distributed Optimization with Strongly Pseudoconvex-Sum Cost Functions. IEEE Transactions on Automatic Control, 2020, 65(1): 426-433.

Kaihong Lu, Gangshan Jing, and Long Wang. Distributed algorithm for solving convex inequalities. IEEE Transactions on Automatic Control, 2018, 63(8): 2670-2677.

Kaihong Lu, Gangshan Jing, and Long Wang. A distributed algorithm for solving mixed equilibrium problems. Automatica, 2019, 105: 246-253.

Kaihong Lu, Qixin Zhu, and Xiaoxi Yan. Distributed Ergodic Algorithms for Mixed Equilibrium Problems: Absent of Cut Property. Automatica, accepted.

Kaihong Lu, Hang Xu, and Yuanshi Zheng. Distributed resource allocation via multi-agent systems under time-varying networks. Automatica, 2022, 136: 110059.

Kaihong Lu, Gangshan Jing, and Long Wang. Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. IEEE Transactions on Cybernetics, 2019, 49(6): 2362-2371.

Kaihong Lu and Qixin Zhu. Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(11): 5254-5260.

Kaihong Lu and Qixin Zhu. Nonsmooth continuous-time distributed algorithms for seeking generalized Nash equilibria of noncooperative games via digraphs. IEEE Transactions on Cybernetics, 2021, doi 10.1109/TCYB.2021.3049463.

Kaihong Lu, Gangshan Jing, and Long Wang. Distributed algorithms for solving the convex feasibility problems. SCIENCE CHINA Information Sciences, 2020, 63(8): 18920.

Hang Xu and Kaihong Lu (通信作者). Continuous-time distributed optimization with strictly pseudoconvex objective functions. Journal of the Franklin Institute, 2022, 359(2) : 1483-1502.

主持项目

国家自然科学基金青年基金, 编号6210316, 在研.

中国博士后科学基金面上项目, 编号2021M691313, 在研.

学术与社会兼职

美国《数学评论》评论员

国际著名学术期刊IEEE Transactions on Automatic Control, Automatica,IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, PlosOne, International Journal of Robust and Nonlinear Control及Neurocomputing的审稿人

第三届智能物联系统建模与仿真专业委员会 委员

教授课程

《智能控制》、《运筹学》

注:每年招收学术型硕士研究生1-2名,欢迎数学成绩优秀并热爱科研事业的同学报考。