目的地搜索
当前位置: 首页 >> 师资队伍 >> 正文
刘娜
2026-03-06 10:09  

职称:讲师,硕士生导师

办公地址:天津师范大学数学科学学院博理楼 B210

个人简介

刘娜,天津师范大学数学科学学院讲师。主要研究方向为多智能体分布式优化、神经动力学优化算法。

科研项目

1.  2025.10-2027.09 复杂通信环境下无人机集群分布式优化与博弈的协作神经动力学算法研究,天津市自然科学基金青年项目,主持。

2.  2021.12-2024.12 服务效能影响因素变化规律定量分析,国家重点研发计划 - 子课题 (NO.2021YFF0900802),30 万,负责。

3.  2022.09-2024.03 基于迁移学习的浮选新过程智能调控决策方法研究,国家重点实验室开放基金 (NO. BGRIMM-KZSKL-2022-4),10 万,第一参与人;

4.  2022.01-2025.12 分布式约束优化问题的神经动力学分布式算法研究,国家自然科学基金面上项目 (NO. 62176073),58 万,主要参与人,本人排序 5;

5.  2018.01-2021.12 基于神经动力学优化方法的几类优化问题研究,国家自然科学基金面上项目 (NO. 61773136),62 万,主要参与人,本人排序 8.

代表性论文

1.  Na Liu, Wenwen. Jia, and Sitian Qin, A smooth gradient approximation neural network for general constrained nonsmooth nonconvex optimization problems, Neural Networks, vol. 184, p. 107121, 2025.

2.  Na Liu and Sitian Qin*,A Novel Neurodynamic Approach to Constrained Complex-variable Pseudoconvex Optimization, IEEE Transactions on Cybernetics (regular paper), 49(11): 3946-3956, 2019.

3.  Wenwen Jia, Na Liu, Sitian Qin*. An adaptive continuous-time algorithm for nonsmooth convex resource allocation optimization, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2021.3137054.

4.  Na Liu and Sitian Qin*,A Neurodynamic Approach to Nonlinear Optimization Problems with Affine Equality and Convex Inequality Constraints, Neural Networks, 109, 147-158, 2019.

5.  Na Liu, Jun Wang and Sitian Qin*,A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints,Neural Networks, 147, 1-9, 2022.

6.  Na Liu, Zhiyuan Su, Yueting Chai and Sitian Qin*, Feedback neural network for constrained bi-objective convex optimization, Neurocomputing, 514, 127-136, 2022.

7.  Na Liu, Shijie Zhao and Sitian Qin*, A Power Reformulation Continuous-time Algorithm for Nonconvex Distributed Constrained Optimization Over Multi-agent Systems. Neurocomputing, 449, 258-209, 2021.

8.  Na Liu, Han Zhang, Yueting Chai, Sitian Qin, Two-stage continuous-time triggered algorithms for constrained distributed optimization over directed graphs. Journal of The Franklin Institute, 360 (2023) , 2159-2181.

9.  Na Liu and Wei Jiang*, A Numerical Method for Solving the Time Fractional Schrodinger Equation, Advances in Computational Mathematics, 44: 1235-1248, 2018.

10.  Wei Jiang* and Na Liu. A Numerical Method for Solving the Time Variable Fractional Order Mobile-immobile Advection-dispersion Model. Applied Numerical Mathematics, 119:18-32, 2017.

关闭窗口

版权所有:天津师范大学 | 地址:天津市西青区宾水西道393号 | 邮政编码:300387 | 电话:022-23766364| 管理员:数科院