职称: 讲师,硕士生导师 办公地址: yl6809永利博理楼 B210 |
个人简介
刘娜,yl6809永利讲师。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. 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。
2. 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;
3. 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;
4. 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 and Sitian Qin*,A Novel Neurodynamic Approach to Constrained Complex-variable Pseudoconvex Optimization, IEEE Transactions on Cybernetics (regular paper), 49(11): 3946-3956, 2019.
2. 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.
3. 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.
4. 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.
5. Na Liu, Zhiyuan Su, Yueting Chai and Sitian Qin*, Feedback neural network for constrained bi-objective convex optimization, Neurocomputing, 514, 127-136, 2022.
6. 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.
7. 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.
8. Na Liu, Wenwen Jia, Sitian Qin* and Jane Ye, Neural network model for constrained nonsmooth nonconvex optimization problems, Submitted to IEEE Transactions on Systems, Man and Cybernetics: Systems, Under Review.
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.