高闪闪

高闪闪，管理科学与工程和工程管理专业导师，工学博士。

个人介绍：高闪闪，上海电力大学讲师，硕士生导师。2023 年毕业于西北工业大学，获工学博士学位。

办公地点：临港校区经外楼A522

联系方式：gaoshanshan@shiep.edu.cn

研究领域：多智能体系统协同优化、复杂网络

科研及获奖情况：

[1] 国家自然科学基金项目，青年基金，非强连通领导-跟随者多智能体系统一致性收敛速率的拓扑优化方法，12601875，2027.1-2029.12, 30 万元，主持。

[2] 国家自然科学基金项目，天元基金，基于弧运算的领导-跟随者多智能体系统一致性收敛速率分析与优化，12526503，2026.1.1-2028.12.31, 10 万元，主持。

[3] 国家自然科学基金项目，地区科学基金，最大化多智能体系统一致性收敛速率的拓扑设计与优化方法，12561065，2026.1.1-2029.12.31, 3.8 万元，主持。

[4] 空天领域复杂性科学教育部重点实验室开放课题，最大化领导-跟随者多智能体系统一致性收敛速率的拓扑设计与优化（重点项目），CSA-ZD202502，2025.9-2027.8, 8 万元，主持。

[5] 上海电力大学青年教师资助计划（上电之源），2026-2029，主持

[6] 上海市教委项目-上海高校青年教师培养资助计划，新工科改革中人工智能赋能能源区块链与大数据课程思政体系探索与建设，2025.9-2027.9, 4 万元，主持。

[7] 2025 年经济与管理学院校级课程思政示范项目，主持。

[8] 十三五课题，XXX 集群协同 XXX 项目，参与。

[9] 中航工业成都飞机设计研究所，行动规划与 XXX 分配技术，参与。

近五年科研成果：

[1] Chao Ping, Shenggui Zhang, Xinzhuang Chen and Shanshan Gao. Improving consensus convergence rate and increasing sample period for sampled-data consensus of multi-agent systems based on rewiring, Applied Mathematics and Computation, 2026, Accepted.

[2] Shanshan Gao, Shenggui Zhang, Chao Ping and Xinzhuang Chen, The role of arc rotation on improving consensus convergence rate for leader-follower multi-agent systems, Applied Mathematics and Computation, 514 (2026) 129843.

[3] Xiaodi Song, Shenggui Zhang, Jing Li and Shanshan Gao, The consensus performance of leader-follower multi-agent systems under reversing the direction of arcs, Applied Mathematics and Computation, 509 (2026) 129649.

[4] Tongyou Xu, Yingying Tan, Shanshan Gao, Xuejuan Zhan, Interaction topology optimization by adjustment of edge weights to improve the consensus convergence and prolong the sampling period for a multi-agent system, Applied Mathematics and Computation, 500 (2025) 129428.

[5] Shanshan Gao, Shenggui Zhang and Xinzhuang Chen, Effects of adding edges on the consensus convergence rate of weighted directed chain networks, IEEE Transactions on Automatic Control, 70 (6) (2025) 4077-4084.

[6]Xinzhuang Chen, Shanshan Gao, Shenggui Zhang, Xiaodi Song, Effects on the algebraic connectivity of weighted graphs under edge rotations, Linear Algebra and its Applications, 703 (2024) 289-301.

[7]Xiaodi Song, Shenggui Zhang, Xinzhuang Chen, Shanshan Gao, The algebraic connectivity of barbell graphs. Discrete Mathematics, (2024) 114027.

[8]Ao Zhang, Zhidan Feng, Zhulou Cao, Shanshan Gao, Xingqin Qi, Optimizing pinning control of complex dynamical networks based on semidefinite programming strategy. Physica D: Nonlinear Phenomena, 467 (2024) 134275.

[9]Shanshan Gao, Shenggui Zhang, Xinzhuang Chen and Xiaodi Song, Effects of adding arcs on the consensus convergence rate of leader-follower multi-agent systems, Applied Mathematics and Computation, 172 (2023) 113590.

[10]Shanshan Gao, Shenggui Zhang and Xinzhuang Chen, Effects of changing the weights of arcs on the consensus convergence rate of a leader-follower multi-agent system, Chaos, Solitons & Fractals, 453 (2023) 128086.

[11]Xinzhuang Chen, Shanshan Gao, Shenggui Zhang and Yu Zhao, On topology optimization for event-triggered consensus with triggered events reducing and convergence rate improving, IEEE Transactions on Circuits and Systems II: Express Briefs, 69 (3) (2022) 1223 - 1227.

[12]Xinzhuang Chen, Shanshan Gao, Shenggui Zhang, Topology optimization for sampled-data consensus with sampling periods increasing and convergence rate improving. Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), (2022) 3152 - 3160.

[13]Shanshan Gao, Shenggui Zhang and Xxinzhuang Chen, Resistance distance centrality based informed-agent selection for leader-follower consensus with convergence rate maximization. Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 2022: 3152 - 3160.

[14]专利：2022年《一种基于杀伤链的装备体系任务可靠度评估方法》，专利号： CN202210970224.X。