倪元华

2022年03月25日 15:29  点击:[]

基本信息

姓名:倪元华

性别:

所属部门:自动化系

行政职务:

职称:教授

学历:博士

所学专业:

办公电话:

电子邮件:yhni@nankai.edu.cn

研究方向:筹学与最优化、最优控制与强化学习、数据科学与决策科学

个人简介

教授,博士生导师,主要教育/工作经历如下:

2010年7月,于中国科学院数学与系统科学研究院获博士学位

2013年6月-2017年1月,中国科学院系统科学研究所,博士后

2014年5月-2015年5月,美国加州大学(圣地亚哥),访问学者

2016年5月-2017年1月,香港理工大学,博士后

2017年1月-至今,南开大学


研究兴趣——控制论和控制论视角下的数据与决策科学,具体地:

“数据也是生产要素”(十九届四中全会,2019年)!本课题组以“数据”与“决策”为研究主体,围绕运筹学与最优化、控制论、强化学习等领域的交叉融合与应用,一方面,关注这几个学科内生的基本性问题,以系统学的观点探讨融通共进的一般性理论,另一方面,开展问题驱动的数据科学与决策科学研究,比如群体智能、智能博弈、优化调度、神经组合优化等。


期刊编委:

     System & Control LettersAssociate Editor

   《系统科学与数学》编委


招生说明:

1.  在运筹学与控制论、控制科学与工程、人工智能三方向上招收硕士生、博士生;

2.  招生要求:自主性强,探索精神强,数学基础良好,对科研真正感兴趣 ,做事踏实坐得科研的冷板凳 ;

3.  感兴趣的同学可直接发邮件联系我;但需要知道的是:做研究需要长期持续的投入,且课题组每周都会进行读书班、论文讨论班,会比较辛苦;

4.  参考阅读:

如何成为一名优秀的博士生?(链接:http://carbon.dlut.edu.cn/info/1054/1102.htm

身心自在《学者笔谈》(链接:http://emba.sjtu.edu.cn/news/media/ZHEMBA4280.html

https://mp.weixin.qq.com/s/Ye3-72rB_TIUvCQxoIK9_g


科研项目、成果、获奖、专利

获奖:

2016年7月,中国自动化学会第二十二届关肇直奖          

                                                              
科研项目:  

6. 国家自然科学基金面上项目,交互型非经典信息结构下的随机最优控制,2022/01-2025/12,主持

5. 国家自然科学基金面上项目,随机系统的时间不一致最优控制, 2018/01-2021/12,主持

4. 中国博士后基金第八批特别资助,时间非一致的随机线性二次最优控制,2015/08-2016/12,主持

3. 中国博士后基金面上项目一等资助,平均场随机控制:线性二次结构,2014/09- 2016/12,主持

2. 国家自然科学基金面上项目,高阶张量的低秩恢复问题研究,2015/01-2018/12,参与

1. 国家自然科学基金面上项目,多智能体系统基于扰动和时滞的一致性分析与控制,2012/01-2015/12,参与

撰写论文、专著、教材等


代表性论文 (研究生#,通讯作者*):                                           


[34]Haoran Li# and Yuan-Hua Ni*, Policy optimization of finite-horizon Kalman filter with unknown noise covariance, arXiv:2310.15467.


[33]Yutian Wang#, Yuan-Hua Ni*, and Xun Li, Solving coupled nonlinear forward-backward stochastic differential equations: an optimization perspective with backward measurability loss, arXiv:2310.13562.


[32]Qingsheng Li#, Hui Jia#, and Yuan-Hua Ni*, Turnpike properties of pareto efficient in cooperative linear-quadratic differential games, The 14th Asian Control Conference, 2024, July. (Best Student Paper Award Finalist)


[31]Lechen Feng# and Yuan-Hua Ni*, Accelerated optimization landscape of linear-quadratic regulator, to appear in Automatica, 2024; see arXiv:2307.03590 for the extended version.

 

[30]Hui Jia# and Yuan-Hua Ni*, Decentralized stochastic linear-quadratic optimal control with risk constraint and partial observation, to appear in System & Control Letters, 2024.


[29]Yutian Wang#, Yuan-Hua Ni*, Zengqiang Chen, and Ji-Feng Zhang, Probabilistic framework of Howard‘s policy iteration: BML evaluation and robust convergence analysis, IEEE Transactions on Automatic Control,  2023, early access, DOI:  10.1109/TAC.2023.3344870. (Full Paper)  


[28]Hui Jia# and Yuan-Hua Ni*, Partially observed optimal control of local and remote controllers, International Journal of Robust and Nonlinear Control, 2024, 34: 3189-3206. 


[27]Di. Zhang# and Yuan-Hua Ni*, Differential privacy optimal control with asymmetric information structure, Optimal Control Applications and Methods, 2024, 45: 393-412. 


[26]Yuan-Hua Ni, Liping Liu, and Xinzhen Zhang, Deterministic dynamic Stackelberg games: time-consistent open-loop solution, Automatica, 2023, 148: 110757. (Regular Paper) 


[25]Yuan-Hua Ni, Binbin Si, and Xinzhen Zhang, A Nash-type fictitious game framework to time-inconsistent stochastic control problems, SIAM Journal on Control and Optimization, 2022, 60(2): 1163-1189. 


[24]Hongyuan Xu#, Yuan-Hua Ni*, Zhongxin Liu, and Zengqiang Chen,Privacy-preserving leader-following consensus via node-augment mechanism, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(6): 2117-2121.


[23]Binbin Si#, Yuan-Hua Ni*, Qinglin Sun, and Zengqiang Chen, A robust time-inconsistent linear-quadratic problem. International Journal of Robust and Nonlinear Control, 2021, 31(7): 2737-2761.


[22]Binbin Si#,Yuan-Hua Ni*, Ji-Feng Zhang, Time-inconsistent stochastic LQ problem with regime switching, Journal of Systems Science and Complexity, 2020, 33: 1733-754. 

   

[21]Fuyong Wang, Yuan-Hua Ni, Zhongxin Liu, Zengqiang Chen. Fully distributed containment control for second-order multi-agent systems with communication delay. ISA Transactions, 2020, 99: 123-129.             

         

[20]Yuan-Hua Ni, Xun Li, Ji-Feng Zhang and Miroslav Krstic, Equilibrium solutions of multi-period mean-variance portfolio selection, IEEE Transactions on Automatic Control, 2020, 65(4): 1716-1723.        

                                

[19]Fu-Yong Wang, Yuan-Hua Ni, Zhong-Xin Liu, and Zeng-Qiang Chen, Containment control for general second-order multiagent systems with switched dynamics, IEEE Transactions on Cybernetics, 2020, 50(2): 550-560.     

                               

[18]Bing-Chang Wang, Yuan-Hua Ni*, Huanshui Zhang, Mean field games for multi-agents systems with multiplicative noises, International Journal of Robust and Nonlinear Control, 2019, online, DOI: 10.1002/rnc.4719. 

     

[17]Yuan-Hua Ni, Xun Li, Ji-Feng Zhang and Miroslav Krstic, Mixed equilibrium solution of time-inconsistent stochastic LQ problem, SIAM Journal on Control and Optimization, 2019, vol.57, no.1, pp.533-569.    

                                                          

[16]Yuan-Hua Ni, Ji-Feng Zhang, Miroslav Krstic, Time-inconsistent mean-field stochastic LQ problem: open-loop time-consistent control, IEEE Transactions on Automatic Control, 2018, 63(9): 2771-2786.  (Full Paper)  

                                              

[15]Yuan-Hua Ni, Cedric Ka-Fai Yiu, Huanshui Zhang and Ji-Feng Zhang, Delayed optimal control of stochastic LQ problem, SIAM Journal on Control and Optimization, 2017, 55(5): 3370-3407.             

                                   

[14]Yuan-Hua Ni, Xun Li, Ji-Feng Zhang, Indefinite mean-field stochastic linear-quadratic optimal control: from finite horizon to infinite horizon, IEEE Transactions on Automatic Control, 2016, 61 (11): 3269-3284. (Full Paper)   

                             

[13]Yuan-Hua Ni, Xun Li, Ji-Feng Zhang, Mean-field stochastic linear-quadratic optimal control with Markov jump parameters, System & Control Letter, 2016, 93:69-76.


[12]Wei Ni, Dongya Zhao, Yuanhua Ni, Xiaoli Wang, Stochastic averaging approach to leader-following consensus of linear multi-agent systems, Journal of the Franklin Institute, 2016, 353 (12): 2650-2669.                                        

        

[11]Yuan-Hua Ni, Ji-Feng Zhang, Stochastic linear-quadratic optimal control without time-consistency requirement, Communications in Information and Systems, 2015, 15 (4): 521-550.  

          

[10]Yuan-Hua Ni, Ji-Feng Zhang, Xun Li, Indefinite mean-field stochastic linear-quadratic optimal control, IEEE Transactions on Automatic Control, 2015, 60 (7): 1786-1800. (Full Paper)  

    

[9] Yuan-Hua Ni, Robert Elliott, Xun Li, Discrete-time mean-field stochastic linear- quadratic optimal control problems. II---infinite horizon case, Automatica, 2015, 57: 65-77. (Regular Paper) 

 

[8] Wan-Kai Pang, Yuan-Hua Ni, Xun Li, Ka-Fai Cedric Yiu, Continuous-time mean-variance portfolio selection with partial information, Journal of Mathematical Finance, 2014, 4: 353-365.


[7] Yuan-Hua Ni, Hai-Tao Fang, Policy iteration algorithm for controlled singular diffusion processes, SIAM Journal on Control and Optimization, 2013, 51 (5): 3844-3862.  


[6] Robert Elliott, Xun Li, Yuan-Hua Ni*, Discrete time mean-field stochastic linear-quadratic optimal control problems, Automatica, 2013, 49 (11): 3222-3233. (Regular Paper) 

 

[5] Yuan-Hua Ni, Xun Li, Consensus seeking in multi-agent systems with multiplicative measurement noises, Systems & Control Letters, 2013, 62 (5): 430-437.


[4] Yuan-Hua Ni, Output feedback H-infinity control for a class of nonlinear stochastic systems, Acta Mathematicae Applicatae Sinica, English Series, 2010, 26 (2): 251-266.


[3] Yuan-Hua Ni, Weihai Zhang, Hai-Tao Fang, On the observability and detectability of linear stochastic systems with Markov jumps and multiplicative noise, Journal of Systems Science and Complexity, 2010, 23 (1): 102-115.


[2] 倪元华, 桂克锋, 基于奇异摄动理论的电驱动机器人神经网络控制, 工程数学学报, 2007, 24 (2): 204-208.       

       

[1] 彭济根, 倪元华, 乔红, 柔性关节机械手的神经网络控制, 自动化学报, 2007, 33 (2): 175-180.

教学、讲授课程等

研究生课程 《矩阵论》, 本科生课程 《概率论与数理统计》、《强化学习原理》

社会兼职

    中国人工智能学会智能空天系统专业委员会委员


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