主要研究领域包括：计算智能、学习控制、智能控制、最优控制、类脑学习控制、强化学习与深度学习、智能电网、工业控制系统优化

拟招收自动化、控制理论与工程、计算机、机器人、测控、应用数学以及其他信息科学相关专业的硕士和博士研究生

081101-控制理论与控制工程

智能控制，最优控制，学习控制

2003-09--2009-01   东北大学   博士
1998-09--2002-06   东北大学   学士

2018-4~至今，中国科学院自动化研究所复杂系统管理与控制国家重点实验室，副主任

2018-1~2018-2，美国罗德岛大学，访问学者

2016.10~至今，中国科学院自动化研究所，研究员

2012-10~2016-07，中国科学院自动化研究所，副研究员

2014-1~2014-3，美国德克萨斯大学阿灵顿分校，访问学者

2011-07~2012-09，中国科学院自动化研究所，助理研究员

2009-01~2011-07，中国科学院自动化研究所，博士后

1) 2014.1–2015.12 and 2019.1–今，IEEE Transactions on Neural Networks and Learning Systems, Associate Editor

2) 2019.1–今，IEEE/CAA Journal of Automatica Sinica, Associate Editor

3) 2017.7–今，IEEE Transactions on Automation Science and Engineering, Associate Editor

4) 2017.7–今，《控制工程》，编委

5) 2017.4–今，IEEE Transactions on Consumer Electronics, Associate Editor

6) 2017.1–今，IEEE Transactions on Cognitive and Developmental Systems, Associate Editor

7) 2016.1–今，IEEE Transactions on Systems, Man, and Cybernetics: Systems, Associate Editor

8) 2016.1–今，Information Sciences, Associate Editor

9) 2016.1–今，Neurocomputing, Member of Editorial Board

10) 2016.9–今，Optimal Control Applications and Methods, Subject Editor

11) 2015.1–今，《自动化学报》，编委

12) Neurocomputing, Guest Editor

Zhigang Zeng, Amir Hussain, and Qinglai Wei, Special issue on “International Symposium on Neural Networks,” Neurocomputing, Feb. 2014.

13) Neural Computing & Applications, Guest Editor

Stefano Squartini, Jinhu Lu, and Qinglai Wei, Special issue on “The Neural Paradigm for Complex Systems: New Algorithms and Applications,” Neural Computing & Applications, Feb. 2013.

(1) The 25th International Conference on Neural Information Processing (ICONIP 2018), 柬埔寨暹粒市, 2018, Special Sessions Chair 

(2) The 14th International Symposium on Neural Networks (ISNN), 日本札幌, 2017年, Program Chair 

(3) The 24th International Conference on Neural Information Processing (ICONIP), 中国广东, 2017年, Program Co-Chair (4) The 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS), 中国重庆, 2017年, Invited Section Chair 

(5) The 12th World Congress on Intelligent Control and Automation (WCICA), 中国桂林, 2016年, Registration Chair 

(6) The 5th Data Driven Control and Learning System Conference (DDCLS), 中国北京, 2016年, Invited Section Chair

 (7) The 5th International Conference on Information Science and Technology (ICIST), 中国长沙, 2015年, Publication Chair

(8) 国际计算智能领域顶级会议The 2014 IEEE World Congress on Computational Intelligence (WCCI), 中国北京, 2014年, Registration Chair 会议评价见官方主页：http://www.conference123.org/wcci2014/

(9) The 4th International Conference on Intelligent Control and Information Processing (ICICIP), 中国北京, 2013年, Finance Chair 

(10) The 2013 International Conference on Brain Inspired Cognitive Systems (BICS), 中国北京, 2013年, Registration Chair 

(11) The 9th International Symposium on Neural Networks (ISNN), 中国沈阳, 2012年, Publication Chair 

(12) The Eighth International Symposium on Neural Networks (ISNN 2011), 广西桂林, 2011年, Registration Chair 

(13) The 2012 International Conference on Brain Inspired Cognitive Systems (BICS), 中国沈阳, 2012年, Publicity Chair (14) The 2013 IEEE Symposium Series on Computational Intelligence (SSCI), 美国迈阿密, 2013年, Special Session Organizers (Yanhong Luo, Qinglai Wei and Zengguang Hou)

(1) IEEE Computational Intelligence Society (CIS) Beijing Chapter, Secretary，2014.1–今

 (2) IEEE CIS Multimedia Subcommittee, Member 

(3) IEEE Computing Intelligence Society, Member 

(4) IEEE Systems, Man, and Cybernetics Society, Member

(5) IEEE Industrial Electronics Society, Member 

(6) Asia Pacific Neural Network Society (APNNS), Member 

(7) 中国自动化学会青年工作委员会，委员

(8) 中国自动化学会自适应动态规划与强化学习专业委员会，委员 

(9) 中国自动化学会数据驱动控制与学习系统专业委员会，委员 

(10) 中国自动化学会能源互联网专业委员会，委员

智能自学习系统优化与决策、最优控制、自适应动态规划理论与实践

   

[1] 陈明亮, 何世贤, 涂红兵, 吕红, 王云福, 魏庆来. 核电系统的局部策略迭代控制方法和装置. CN: CN116611955A, 2023-08-18.

[2] 魏庆来, 刘学睿, 刘胜, 马锴, 程相. 无等待生产方法、装置、设备、存储介质及程序产品. CN: CN115496254A, 2022-12-20.

[3] 魏庆来, 刘学睿, 刘胜, 马锴. 流水车间调度方法、装置及电子设备. CN: CN115390517A, 2022-11-25.

[4] 高爱国, 魏庆来, 尚勇, 那士博, 曹槐, 宋睿卓. 基于除氧器系统的比例积分微分PID参数整定方法. CN: CN115167106A, 2022-10-11.

[5] 高爱国, 魏庆来, 尚勇, 那士博, 曹槐, 宋睿卓. 发电过程中PID控制器的参数确定方法及装置. CN: CN115167103A, 2022-10-11.

[6] 魏庆来, 张玉振, 胡勇, 陈卫华. 核电系统控制方法及装置. CN: CN114967445A, 2022-08-30.

[7] 刘胜, 王晓, 熊刚, 魏庆来, 卢万泽, 徐延才, 张俊, 彭绍明, 赵红霞, 程相, 王飞跃. 工业化建筑业务管理服务器及其管理方法. CN: CN113837538A, 2021-12-24.

[8] 刘丽, 刘禹, 魏庆来. 一种多智能体攀爬机器人系统及其控制方法. CN: CN113619701A, 2021-11-09.

[9] 魏庆来, 王凌霄, 宋睿卓. 基于深度强化学习的电梯系统自学习最优控制方法及系统. CN: CN111753468B, 2021-09-07.

[10] 刘德荣, 魏庆来, 林汉权, 李超. 基于可变误差的非线性系统自适应最优控制方法. CN: CN111308896B, 2021-07-13.

[11] 郑永健, 薛思萌, 黄川, 闫春生, 禹勇, 杨徐东, 白挺玮, 钟栗广, 綦伟, 孙宏伟, 王达, 孟祥睿, 王畅, 张欢, 刘丹, 薛激光, 赵旭亮, 魏庆来. 电动汽车租赁运营平台车辆故障预判系统、方法及装置. CN: CN112101597A, 2020-12-18.

[12] 薛激光, 闫春生, 郑永健, 代宇, 戴洵, 高白羽, 黄川, 薛思萌, 李德伟, 周思成, 范宇辰, 秦悦维, 张潇祺, 董思同, 张笑怡, 修雨蔷, 崔赫, 王赫妍, 孙宏伟, 孟祥睿, 汤野, 程文玉, 黄聪潇, 魏庆来. 基于自学习的电动汽车充电控制策略优化方法及系统. CN: CN111532150A, 2020-08-14.

[13] 魏庆来, 廖泽华, 宋睿卓. 空调自学习最优控制系统. CN: CN108844190A, 2018-11-20.

[14] 魏庆来, 刘德荣, 林桥, 李本凯, 赵博. 自适应最优控制方法及自适应最优控制系统. CN: CN106354010A, 2017-01-25.

[15] 魏庆来, 刘德荣, 林桥, 李本凯, 赵博. 自适应最优控制方法. CN: CN106227043A, 2016-12-14.

[16] 魏庆来, 李本凯, 刘德荣. 基于Q学习的智能楼宇温度控制方法. CN: CN105843037A, 2016-08-10.

[17] 刘德荣, 石光, 魏庆来. 基于回声状态网络的用电预测方法和系统. CN: CN105719018A, 2016-06-29.

[18] 刘德荣, 石光, 魏庆来. 办公建筑能耗管理方法. CN: CN105071421A, 2015-11-18.

[19] 刘德荣, 魏庆来, 林汉权, 李超. 一种基于可变误差的非线性系统自适应最优控制方法. CN: CN104834221A, 2015-08-12.

[20] 刘德荣, 石光, 魏庆来, 刘禹, 关强. 一种基于神经网络的办公建筑房间分类方法. CN: CN104573818A, 2015-04-29.

[21] 魏庆来, 刘禹, 石光, 刘德荣, 卜丽, 关强. 一种用户用电实时测量方法. CN: CN104318316A, 2015-01-28.

[22] 刘德荣, 魏庆来, 石光. 一种智能微电网分布式储能设备控制优化方法. CN: CN104201705A, 2014-12-10.

[23] 刘德荣, 魏庆来, 石光. 一种带有储能设备的智能微电网电能优化控制方法. CN: CN104022503A, 2014-09-03.

[24] 刘德荣, 魏庆来, 徐延才. 一种智能微电网双电池电能协同优化方法. CN: CN103679292A, 2014-03-26.

[25] 刘德荣, 魏庆来, 李超, 徐延才. 一种变换炉系统的炉温自学习控制方法. CN: CN103645633A, 2014-03-19.

[26] 刘德荣, 魏庆来, 徐延才. 一种煤气化炉系统的炉温自学习控制方法. CN: CN103529699A, 2014-01-22.

[27] 刘德荣, 魏庆来, 黄玉柱, 赵冬斌. 变换炉的控制方法. CN: CN102830628A, 2012-12-19.

[28] 赵冬斌, 王滨, 刘德荣, 魏庆来, 朱圆恒, 苏永生. 煤气化炉的控制方法. CN: CN102799748A, 2012-11-28.

1) 2018年，《自动化学报》期刊优秀编委 

2) 2018年，全球高被引科学家 

3) 2018年，IEEE System, Man, and Cybernetics Society, Andrew P. Sage Best Transactions Paper Award 

4) 2018年，IEEE Transactions on Neural Networks and Learning Systems, Outstanding Paper Award 

5) 2017年，中国自动化学会杨嘉墀科技奖，二等奖。 

6) 2017年，中国自动化学会(CAA)自然科学奖，一等奖。

7) 2017年，中国自动化学会，青年科学家奖 

8) 2017年，IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS2017)，Best Paper Award 

9) 2016年，亚太神经网络学会(Asia Pacific Neural Network Society, APNNS), 青年学者奖 

10) 2015年，第27届中国控制与决策会议(CCDC2015)张嗣瀛优秀青年论文奖，排名第一 

11) 2015年，北京市科学技术三等奖，排名：2/5 

12) 2015年，德国纽伦堡发明展金奖

13) 2014年，江苏省“高层次创新创业人才(双创人才)” 

14) 2013年，江苏省淮安市“淮上英才”创新创业领军人才 

15) 2012年，10th World Congress on Intelligent Control and Automation (WCICA 2012) 最佳论文提名奖 (Best Theoretical Paper Award Honorable Mention)，排名第一 

16) 2011年，《自动化学报》优秀论文奖，排名第一 

17) 2011年，中国博士后基金第4批特别资助

   

[1] Wei, Qinglai, Zhou, Tianmin, Lu, Jingwei, Liu, Yu, Su, Shuai, Xiao, Jun. Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TSMC.2023.3284612.
[2] 魏庆来. Event-triggered near-optimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system. Ieee Transactions on Industrial Informatics[J]. 2023, [3] Lu, Jingwei, Wei, Qinglai, Zhou, Tianmin, Wang, Ziyang, Wang, FeiYue. Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2023, 53(3): 1890-1904, http://dx.doi.org/10.1109/TCYB.2022.3164977.
[4] Wei, Qinglai, Chen, Diancheng, Yuan, Beiming, Ye, Peijun. Raven solver: From perception to reasoning. INFORMATION SCIENCES[J]. 2023, 634: 716-729, http://dx.doi.org/10.1016/j.ins.2023.03.080.
[5] 魏庆来. Online adaptive dynamic programming for optimal self-learning control of VTOL aircraft systems with disturbances. Ieee Transactions on Automation Science and Engineering[J]. 2023, [6] Wei, Qinglai, Li, Tao. Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, http://dx.doi.org/10.1109/TNNLS.2023.3237586.
[7] Wei, Qinglai, Li, Hongyang, Wang, FeiYue. A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2023, 53(6): 3760-3770, http://dx.doi.org/10.1109/TCYB.2021.3128231.
[8] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Approximate Dynamic Programming for Event-Driven H 8 Constrained Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 53(9): 5922-5932, http://dx.doi.org/10.1109/TSMC.2023.3277737.
[9] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Adaptive Dynamic Programming for Nonlinear-Constrained H-8 Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 53(7): 4393-4403, http://dx.doi.org/10.1109/TSMC.2023.3247888.
[10] Wei, Qinglai, Liu, Yujia, Lu, Jingwei, Ling, Jun, Luan, Zhenhua, Chen, Mingliang. A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems. OPTIMAL CONTROL APPLICATIONS & METHODS[J]. 2023, 44(2): 830-845, http://dx.doi.org/10.1002/oca.2792.
[11] 魏庆来. Robust optimal parallel tracking control based on adaptive dynamic programming. IEEE Transactions on Cybernetics[J]. 2023, [12] 魏庆来. A self-attention based deep reinforcement learning approach for AGV dispatching systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, [13] Lu, Jingwei, Han, Liyuan, Wei, Qinglai, Wang, Xiao, Dai, Xingyuan, Wang, FeiYue. Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 8(4): 2821-2831, http://dx.doi.org/10.1109/TIV.2023.3262132.
[14] 魏庆来. VGN: Value decomposition with graph attention network for multi-agent reinforcement learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, [15] Wei, Qinglai, Song, Ruizhuo, Zhang, Pinjia, Wu, Zongze. Data-based learning control for optimization of nonlinear systems. OPTIMAL CONTROL APPLICATIONS & METHODS[J]. 2023, 44(3): 1055-1057, http://dx.doi.org/10.1002/oca.2979.
[16] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Approximate Dynamic Programming for Event-Driven H-8 Constrained Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS. 2023, http://dx.doi.org/10.1109/TSMC.2023.3277737.
[17] Wei, Qinglai, Li, Hongyang, Li, Tao, Wang, FeiYue. A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 53(5): 3176-3186, http://dx.doi.org/10.1109/TSMC.2022.3223910.
[18] Li, Hongyang, Wei, Qinglai. Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2023, http://dx.doi.org/10.1109/TASE.2023.3289950.
[19] Su, Shuai, Zhu, Qingyang, Liu, Junqing, Tang, Tao, Wei, Qinglai, Cao, Yuan. A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2023, 19(7): 7885-7893, http://dx.doi.org/10.1109/TII.2022.3195888.
[20] Li, Hongyang, Wei, Qinglai. Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING[J]. 2022, 23(7): 1010-1019, http://dx.doi.org/10.1631/FITEE.2200010.
[21] Yang, Dongsheng, Sun, Yunhe, Wei, Qinglai, Zhang, Huaguang, Li, Ting. Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(9): 6015-6027, [22] Lu, Jingwei, Wei, Qinglai, Zhou, Tianmin, Wang, Ziyang, Wang, FeiYue. Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, http://dx.doi.org/10.1109/TCYB.2022.3164977.
[23] Lu, Jingwei, Wei, Qinglai, Wang, Ziyang, Zhou, Tianmin, Wang, FeiYue. Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control. INFORMATION SCIENCES[J]. 2022, 584: 519-535, http://dx.doi.org/10.1016/j.ins.2021.10.073.
[24] Wei, Qinglai, Wang, Lingxiao, Lu, Jingwei, Wang, FeiYue. Discrete-Time Self-Learning Parallel Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(1): 192-204, http://dx.doi.org/10.1109/TSMC.2020.2995646.
[25] Wei, Qinglai, Li, Hongyang, Li, Tao, Wang, FeiYue. A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, [26] Qinglai Wei. Discrete-time self-learning parallel control. IEEE Transactions on Systems, Man, and Cybernetics: Systems[J]. 2022, 52(1): 192-204, [27] Qinglai Wei, Liyuan Han, Tielin Zhang. Spiking adaptive dynamic programming based on poisson process for discrete-time nonlinear systems. IEEE Transactions on Neural Networks and Learning Systems[J]. 2022, 33(5): 1846-1856, [28] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TNNLS.2022.3178017.
[29] Wei, Qinglai, Li, Yugu, Zhang, Jie, Wang, FeiYue. VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TNNLS.2022.3172572.
[30] Qinglai Wei. Model-free adaptive optimal control for unknown nonlinear multiplayer nonzero-sum game. IEEE Transactions on Neural Networks and Learning Systems[J]. 2022, 33(2): 879-891, [31] Yang, Xiong, Zhou, Yingjiang, Dong, Na, Wei, Qinglai. Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(7): 4187-4199, http://dx.doi.org/10.1109/TSMC.2021.3089944.
[32] Wei, Qinglai, Yan, Yutian, Zhang, Jie, Xiao, Jun, Wang, Cong. A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TNNLS.2022.3222206.
[33] Qinglai Wei. A novel parallel control method for continuous-time linear output regulation with disturbances. IEEE Transactions on Cybernetics[J]. 2022, [34] Qinglai Wei. Event-triggered near-optimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system. IEEE Transactions on Industrial Informatics[J]. 2022, [35] Wei, Qinglai, Yang, Zesheng, Su, Huaizhong, Wang, Lijian. Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems. NEUROCOMPUTING[J]. 2022, 507: 282-291, http://dx.doi.org/10.1016/j.neucom.2022.08.011.
[36] Lu, Jingwei, Wei, Qinglai, Liu, Yujia, Zhou, Tianmin, Wang, FeiYue. Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 52(6): 3772-3784, http://dx.doi.org/10.1109/TSMC.2021.3073429.
[37] Qinglai Wei. A new approach to finite-horizon optimal control for discrete-time affine nonlinear systems via a pseudo-linear method. IEEE Transactions on Automatic Control[J]. 2022, 67(5): 2610-2617, [38] Wei, Qinglai, Liao, Zehua, Shi, Guang. Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2021, 17(10): 6614-6623, http://dx.doi.org/10.1109/TII.2020.3042631.
[39] Wei, Qinglai, Li, Tao, Liu, Derong. Learning Control for Air Conditioning Systems via Human Expressions. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS[J]. 2021, 68(8): 7662-7671, http://dx.doi.org/10.1109/TIE.2020.3001849.
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[1] Qinglai Wei, Ruizhuo Song, Benkai Li, Xiaofeng Lin, Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach. Berlin: Springer, 2018. 

[2] Qinglai Wei, Ruizhuo Song, and Qiuye Sun, Iterative Dynamic Programming Theory and Application. Beijing: Science Press, 2015.

[3] Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, and Hongliang Li, Adaptive Dynamic Programming with Applications in Optimal Control. Berlin: Springer, 2016.

   

（ 1 ） 复杂非线性系统数据驱动自学习最优控制理论与方法研究, 主持, 国家级, 2014-01--2017-12
（ 2 ） 基于自适应动态规划的非线性系统零和微分对策, 主持, 国家级, 2010-01--2012-12
（ 3 ） 基于自适应动态规划的时滞非线性系统最优控制, 主持, 省级, 2011-07--2012-06
（ 4 ） 基于数据的复杂非线性系统迭代自适应动态规划最优控制方法研究, 主持, 省级, 2013-01--2015-06
（ 5 ） 江苏省双创计划项目, 主持, 省级, 2015-01--2017-12
（ 6 ） 淮安市淮上英才计划项目, 主持, 省级, 2013-01--2016-12
（ 7 ） 能耗数据分析报告系统研发, 主持, 院级, 2015-12--2017-12
（ 8 ） 建筑能耗数据挖掘与分析工具包开发, 主持, 院级, 2013-12--2014-12
（ 9 ） 基于数据的自适应动态规划的系统自学习最优控制方法研究, 主持, 市地级, 2016-01--2016-12
（ 10 ） 基于数据的自适应动态规划的系统自学习最优控制方法研究, 主持, 市地级, 2012-01--2013-12
（ 11 ） 基于数据的建筑群及分布式能源系统一体化建模与自学习优化控制, 参与, 国家级, 2016-01--2020-12
（ 12 ） 基于数据的智能电网电能供需自适应优化匹配与调控, 参与, 国家级, 2013-01--2016-12

（1）Data-Based Self-Learning Optimal Control for Continuous-Time Unknown Nonlinear SystemsWith Disturbance   第五届数据驱动控制与学习系统会议(DDCLS2016)   2016-05-30