教育与工作经历

2005.09-2009.07 哈尔滨工业大学航天学院 自动化专业 学士

2009.09-2011.07 哈尔滨工业大学航天学院 控制科学与工程系 硕士

2011.08-2015.08 美国德州理工大学 机械工程系 博士

2015.8-2017.08 中国科学院数学与系统科学研究院 博士后

2017.08-2019.08 威尼斯登录入口官网 威尼斯登录入口官网 博士后

2019.08-2022.08 威尼斯登录入口官网 预聘副教授、博士生导师

2022.08-至今 威尼斯登录入口官网 教授、博士生导师

研究方向

1. 多智能体系统博弈与智能决策

2. 分布式优化与无人系统控制

欢迎对我们的研究工作感兴趣的博士生、硕士生和本科生申请者与我邮件联系。

近5年承担的科研项目

1. “多智能体系统复杂非光滑优化问题的分布式光滑求解”，国家自然科学基金（面上项目），2021-2024，项目负责人

2.“可信可解释的人机共驾混合智能决策与在线评估”，科技创新 2030-“新一代人工智能”重大项目（子课题），2021-2024，子课题负责人

3.“复杂海况多艇实时交互认知机制研究”，国家自然科学基金（重大项目子课题），2020-2024，子课题负责人

代表性学术论文

[1] Xia Jiang, Xianlin Zeng*, Lihua Xie, Jian Sun, Variance-reduced Shuffling Gradient Descent with Momentum for Finite-sum Minimization, IEEE Control Systems Letters, vol. 7, pp. 1700-1705, 2023.

[2] Zijun Cheng, Xianlin Zeng*, Hao Fang, Gang Wang, and Lihua Dou, Hierarchical MPC-based Motion Planning for Automated Vehicles in Parallel Autonomy, Unmanned Systems, https://doi.org/10.1142/S2301385024500286, 2023

[3] Yinghui Wang, Xianlin Zeng*, Wenxiao Zhao, and Yiguang Hong. A zeroth-order algorithm for distributed optimization with stochastic stripe observations. Sci. China Inf. Sci. 66, 199202 (2023).

[4] Jie Hou, Xianlin Zeng*, Gang Wang, Jian Sun, and Jie Chen, Distributed Momentum-based Frank-Wolfe Algorithm for Stochastic Optimization, IEEE/CAA JOURNAL OF AUTOMATICA SINICA, vol. 10, no. 3, 2023

[5] Xia Jiang, Xianlin Zeng*, Jian Sun, and Jie Chen, Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3170944

[6] Xia Jiang, Xianlin Zeng*, Jian Sun, Jie Chen, A fully distributed hybrid control framework for non-differentiable multi-agent optimization, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 10, pp. 1792-1800, October 2022.

[7] Xianlin Zeng, Jinlong Lei, and Jie Chen, Dynamical Primal-Dual Accelerated Method with Applications to Network Optimization, IEEE Transactions on Automatic Control, Volume, 68, Issue 3, pp. 1760-1767, March 2023.

[8] Xianlin Zeng, Jie Chen, and Yiguang Hong, Distributed Optimization Design of Iterative Refinement Technique for Algebraic Riccati Equations, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 5, pp. 2833-2847, May 2022.

[9] Xianlin Zeng, Jie Chen, and Yiguang Hong, Distributed Optimization Design for Computation of Algebraic Riccati Inequalities, IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1924-1935, 2022.

[10] 陈杰, 方浩*, 曾宪琳. 面向高危行业的无人平台智能化发展. 中国科学: 信息科学, 2021, 51(9): 1397-1410

[11] 邓文、李伟健、曾宪琳*、洪奕光，矩阵方程的分布式求解算法研究概述，控制理论与应用，2021,38(11):1695-1706

[12] 姜霞, 曾宪琳, 孙健*, 陈杰. 多飞行器的分布式优化研究现状与展望. 航空学报, 2021, 42(4): 524551-524551

[13] Xia Jiang, Xianlin Zeng*, Jian Sun and Jie Chen, Distributed hybrid impulsive algorithm with supervisory resetting for nonlinear optimization problems, International Journal of Robust and Nonlinear Control, vol. 31, no. 8, pp. 3230-3247, 2021.

[14] Wen Deng, Xianlin Zeng*, and Yiguang Hong, Distributed optimisation approach to least squares solution of Sylvester equations, IET Control Theory & Applications, vol. 14, no. 18, pp. 2968-2976, 2020.

[15] Xianlin Zeng, Jie Chen, Shu Liang, and Yiguang Hong, Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game, Automatica, vol. 103, 20-26, 2019.

[16] Xianlin Zeng, Shu Liang, Yiguang Hong, and Jie Chen, Distributed computation of linear matrix equations: An optimization perspective, IEEE Transactions on Automatic Control, vol. 64, no. 5, pp. 1858-1873, 2019.

[17] Xianlin Zeng, Peng Yi, Yiguang Hong, and Lihua Xie, Distributed continuous-time algorithms for nonsmooth extended monotropic optimization problems, SIAM Journal on Control and Optimization, 56(6): 3973-3993, 2018.

[18] Xianlin Zeng, Peng Yi, and Yiguang Hong, Distributed continuous-time algorithm for constrained convex optimizations via nonsmooth analysis approach, IEEE Transactions on Automatic Control, vol. 62, no. 10, pp. 5227-5233, 2017.

[19] Xianlin Zeng, Hybrid Networked Control for Cyber-Physical Network Systems with Applications to Interconnected Power Grids, Texas Tech University, August 2015. (博士学位论文)

*表示为通讯作者

授权国家发明专利及出版专著

专利

1. 孙健，姜霞，曾宪琳，陈杰，基于稀疏性和Burer-Monteiro分解的分布式图像分割方法，2021.04.01，发明专利，ZL202110358334.6

2. 曾宪琳; 成子君; 方浩; 窦丽华; 杨庆凯; 辛斌; 陈杰, 一种基于模型预测控制的人机共驾汽车的运动规划方法，2022-06-01，中国, CN202210772428.2

3. 曾宪琳; 王凯; 方浩; 陈仲瑶; 窦丽华; 杨庆凯; 辛斌; 陈杰, 一种基于BiLSTM-CRF模型的车辆变道意图预测的方法，2022-01-01，中国, CN202210058857.3.

4. 李逸萱; 曾宪琳; 方浩; 辛斌; 杨庆凯; 窦丽华; 陈杰, 基于一阶加速优化的零和博弈双网决策方法，2022-05-01，中国, CN202210594741.1.

科研获奖

讲授课程、出版教材及教学成果

讲授课程

1. 智能控制基础（本科课程）

2. 群体智能与博弈对抗基础（研究生课程）

教学成果

学术兼职