个人资料：
姓名：杨雄
职称：副教授/硕士生导师
学科专业：控制科学与工程
通讯地址：天津大学电气自动化与信息工程学院26教学楼E区430室
邮 编：300072
电子信箱：xiong.yang@tju.edu.cn
主要经历：
(1) 2016/05至今 天津大学 电气自动化与信息工程学院 副教授
(2) 2016/12--2018/12 University of Rohde Island (USA), Department of Electrical,
Computer, and Biomedical Engineering, Post-Doctoral Fellow
(3) 2014/07--2016/04 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
助理研究员
(4) 2011/09--2014/07 中国科学院自动化研究所 控制理论与控制工程专业
获工学博士学位
(5) 2008/09--2011/06 山东大学 基础数学专业 获理学硕士学位
(6) 2004/09--2008/06 华中师范大学数学与应用数学专业 获理学学士学位
主要研究方向：
(1) 自适应动态规划
(2) 强化学习
(3) 智能控制、最优控制
(4) 深度神经网络
主要科研项目：
(1) 国家自然科学基金青年基金项目“非线性系统鲁棒镇定与跟踪控制的自适应动态规划方法”，负责人
(2) 复杂系统管理与控制国家重点实验室优秀人才基金项目“基于自适应动态规划的非线性系统鲁棒镇定与优化控制”，负责人
(3) 国家自然科学基金重点项目“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
(4) 国家自然科学基金面上项目“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”，参与
(5) 国家自然科学基金面上项目“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
代表性论著、学术著作：
学术论文：
[1] Xiong Yangand Haibo He, Adaptive critic learning and experience replay for decentralized event-triggered control of nonlinear interconnected systems,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019 (in press)(2017 IF:5.135, Rank: 5/61, Q1)
[2] Xiong Yangand Haibo He, Adaptive critic designs for event-triggered robust control of nonlinear systems with unknown dynamics,IEEE Transactions on Cybernetics,vol. 49, no. 6, pp. 2255--2267, June 2019. (2017 IF:8.803, Rank: 1/61, Q1)
[3] Xiong Yangand Haibo He, Adaptive dynamic programming for decentralized stabilization of uncertain nonlinear large-scale systems with mismatched interconnections,IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018 (in press)(2017 IF:5.135, Rank: 5/61, Q1)
[4] Xiong Yangand Haibo He, Event-triggered robust stabilization of nonlinear input-constrained systems using single network adaptive critic designs,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 (in press)(2017 IF:5.135, Rank: 5/61, Q1)
[5] Xiong Yangand Qinglai Wei, An off-policy iteration algorithm for robust stabilization of constrained-input uncertain nonlinear systems,International Journal of Robust and Nonlinear Control, vol. 28, no. 18, pp. 5747-5765, Dec. 2018.(2017 IF:3.856, Rank: 11/61, Q1)
[6] Xiong Yang, Haibo He, Qinglai Wei, and Biao Luo, Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties,Information Sciences, vol. 463-464, pp. 307-322, Oct. 2018.(2017 IF:4.305, Rank: 12/148, Q1)
[7] Xiong Yangand Haibo He, Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections,Neural Networks, vol. 105, pp. 142-153, Sept. 2018.(2017 IF:7.197, Rank: 7/132, Q1)
[8] Xiong Yang, Haibo He, and Qinglai Wei, An adaptive critic approach to event‐triggered robust control of nonlinear systems with unmatched uncertainties,International Journal of Robust and Nonlinear Control, vol. 28, no. 10, pp.3501--3519, July2018. (2017 IF:3.856, Rank: 11/61, Q1)
[9] Xiong Yang, Haibo He, and Xiangnan Zhong, Adaptive dynamic programming for robust regulation and its application to power systems,IEEE Transactions on Industrial Electronics,vol. 65, no. 7, pp. 5722--5732, July 2018.(2017 IF:7.050, Rank: 2/61, Q1)
[10] Xiong Yangand Haibo He, Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances,Neural Networks, vol. 99, pp. 19-30, Mar. 2018.(2017 IF:7.197, Rank: 7/132, Q1)
[11] Yuanheng Zhu, Dongbin Zhao,Xiong Yang, and Qichao Zhang, Policy iteration for H∞ optimal control of polynomial nonlinear systems via sum of squares programming,IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 500- 509, Feb. 2018.(2017 IF:8.803, Rank: 1/61, Q1)
[12] Xiong Yang, Haibo He, and Derong Liu, Event-triggered optimal neuro-controller design with reinforcement learning for unknown nonlinear systems,IEEE Transactions on Systems, Man, and Cybernetics: Systems,2017(in press)(2017 IF:5.135, Rank: 5/61, Q1)
[13] Ding Wang, Chaoxu Mu,Xiong Yang, and Derong Liu, Event-based constrained robust control of affine systems incorporating an adaptive critic mechanism,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 7, pp. 1602-1612, July 2017.(2017 IF:5.135, Rank: 5/61, Q1)
[14] Xiong Yang, Derong Liu, Biao Luo, and Chao Li, Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning,Information Sciences, vol. 369, pp. 731--747, Nov. 2016.(2016 IF:4.832, Rank: 7/146, Q1)
[15] Xiong Yang, Derong Liu, Hongwen Ma, and Yancai Xu, Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems,Information Sciences, vol. 328, pp. 435--454, Jan. 2016.(2016 IF:4.832, Rank: 7/146, Q1)
[16] Biao Luo, Tingwen Huang, Huai-Ning Wu, andXiong Yang, Data-driven H_infinity control for nonlinear distributed parameter systems,IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, pp. 2949–2961, Nov. 2015.(2015 IF:4.854, Rank: 7/130, Q1)
[17] Derong Liu,Xiong Yang, Ding Wang, and Qinglai Wei, Reinforcement-learning-based robust controller design for continuous-time uncertain nonlinear systems subject to input constraints,IEEETransactionson Cybernetics, vol. 45, no. 7, pp. 1372–1385, July 2015.(2015 IF:4.943, Rank: N/A Q1)
[18] Xiong Yang, Derong Liu, Qinglai Wei, and Ding Wang, Direct adaptive control for a class of discrete-time unknown nonaffine nonlinear systems using neural networks,International Journal of Robust and Nonlinear Control, vol. 25, no. 12, pp. 1844–1861, Aug. 2015.(2015 IF:2.527, Rank: 10/59, Q1)
[19] Qinglai Wei, Derong Liu, andXiong Yang, Infinite horizon self-learning optimal control of nonaffine discrete-time nonlinear systems,IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 4, pp. 866–879, Apr. 2015.(SCI) [Awarded 2018 IEEE Computational Intelligence Society TNNLS Outstanding Paper](2015 IF:4.854, Rank: 7/130, Q1)
[20] Xiong Yang, Derong Liu, Ding Wang, and Qinglai Wei, Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning,Neural Networks, vol. 55, pp. 30–41, July 2014.(2014 IF:2.708, Rank: 18/123, Q1)
学术论著：
(1) Derong Liu, Qinglai Wei, Ding Wang,Xiong Yang, and Hongliang Li,Adaptive Dynamic Programming with Applications in Optimal Control. Cham, Switzerland: Springer, 2017.
主要学术成就、奖励及荣誉：
(1) 2018年,IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award,IEEE Computational Intelligence Society
(2) 2018年,天津大学“北洋学者·青年骨干教师计划”
(3) 2015年,北京市科学技术奖三等奖
(4) 2014年,中国科学院院长优秀奖
其他（社会兼职等）：
(1) 2019/01—今：Member, IEEE
(2) 2016/08—今：Member, Committee on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), Chinese Association of Automation
(3) 2015.11—今：Member, Asia Pacific Neural Network Society
招生方向及要求：
招生方向：控制理论与控制工程
注：(1)欢迎自动控制或数学及应用数学专业的学生
(2)熟悉常用仿真软件，如Matlab, Python等
(3)具备良好的英语写作交流能力，英语四级成绩应达到550分以上.
