熊智华 - 清华大学

个人简介

教育背景 1989年9月-1993年7月东北大学自动控制系学习，获工学学士学位 1993年9月-1996年3月东北大学自动控制系学习，获工学硕士学位 1996年4月-2000年7月清华大学自动化系学习，获工学博士学位工作履历 2000年10月-2003年10月 University of Newcastle, UK(英国纽卡斯尔大学) Postdoctoral Research Associate (博士后) 2004年1月-2005年12月清华大学自动化系讲师 2005年12月-至今清华大学自动化系副教授 2007年5月-至今清华大学自动化系过程控制工程研究所任副所长学术兼职 2007年3月至今 IEEE Control System Society, Member 2007年3月至今 IEEE Computational Intelligence Society, Member 2008年7月至今中国自动化学会过程控制专业委员会担任委员 2015年6月至今中国自动化学会数据驱动控制、学习与优化专业委员会担任委员 2015年11月至今中国化工学会化工自动化及仪表专业委员会担任委员 2017年7月至今中国化工学会信息技术应用专业委员会担任委员 2012年9月至今北京自动化学会担任理事奖励与荣誉 2013年获中国石油和化工自动化应用协会颁发的科技发明一等奖 2011年获中国石油和化工自动化应用协会颁发的科技发明一等奖 2010年获清华大学优秀班（级）主任一等奖 2006年入选“北京市科技新星计划”

研究领域

复杂连续过程的建模、控制与优化（包括迭代学习控制，预测控制，神经网络等）工业大数据分析与应用（包括基于数据和机器学习的工业大数据分析、工业智能与应用）工业控制网络安全隔离技术

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Qiu Weiwei, Xiong Zhihua, Zhang Jie, et al. Integrated predictive iterative learning control based on updating reference trajectory for point-to- point tracking, Journal of Process Control, 2020, 85: 41-51 Zhang Rui, Xiong Zhihua, Recurrent neural network model with self-attention mechanism for fault detection and diagnosis, 2019 Chinese Automation Congress (CAC2019), Hangzhou, Nov. 22-24 , 2019, pp 4706-4711 窦珊, 张广宇, 熊智华. 基于LSTM时间序列重建的生产装置异常检测. 化工学报, 2019, 70(2): 481-486 方捷睿，曹卫民，白建涛，熊智华等，基于应用层协议解析的工控网络安全仿真测试平台，CICAI 2019, 西安，10. 24-26, 2019 洪英东, 熊智华, 江永亨, 叶昊. 基于2D理论的点对点综合预测迭代学习控制. 控制与决策, 2018, 33(3): 431-438 Xiong Zhihua, Hong Yingdong, Chen Chen, et al., Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory, 2016 American Control Conference (ACC2016), Boston, MA, USA, July 6-8, 2016, pp 1259-1264 Chen Chen, Xiong Zhihua, Zhong Yisheng, Design and analysis of integrated predictive iterative learning control for batch process based on two-dimensional system theory, Chinese Journal of Chemical Engineering, 2014, 22(7): 762-768 Zhang Cong, Xiong Zhihua, Ye, Hao, Informative conditions for the data set in an MIMO networked control system with delays, packet dropout and transmission scheduling, International Journal of Systems Science, 2014, 45(7): 1346-1355 Yu Xiaodong, Xiong Zhihua, Huang Dexian, et al., Model-Based iterative learning control for batch processes using generalized hinging hyperplanes, Industrial & Engineering Chemistry Research, 2013, 52(4): 1627-1634 Luv Ning, Xiong Zhihua, Wang Xiong, et al., Integrated framework of probabilistic signed digraph based fault diagnosis approach to a gas fractionation unit, Industrial & Engineering Chemistry Research, 2011, 50(17): 10062-10073 Xiong Zhihua, Xu Yixin, et al., Neural network based iterative learning control for product qualities in batch processes, International Journal of Modelling, Identification and Control, 2010, 11(1/2): 107-114 Xiong Zhihua, Dong Jin, Zhang Jie, Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model, Science In China Series F-Information Sciences, 2009, 52(7):1136-1144 Xiong Zhihua, Zhang Jie, Dong Jin, Optimal iterative learning control for batch processes based on linear time-varying perturbation model, Chinese Journal of Chemical Engineering, 2008, 16(2): 235-240 Xiong Zhihua, Xu Yixin , Zhang Jie, et al., Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. Neural Computing & Applications, 2008, 17: 425-432 Xiong Zhihua, Zhang Jie, Wang Xiong, et al., Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model. IET - Control Theory and Applications, 2007, 1(1):179-188 Xiong Zhihua，Zhang Jie, Neural network model-based on-line re-optimisation control of fed-batch processes using a modified iterative dynamic programming algorithm. Chemical Engineering and Processing, 2005, 44(4):477-484 Xiong Zhihua, Zhang Jie, Wang Xiong, et al., Tracking control for batch processes by integrating batch-to-batch iterative learning control and within-batch on-line control. Industrial and Engineering Chemistry Research, 2005, 44(11):3983-3992 Xiong Zhihua, Zhang Jie. A batch-to-batch iterative optimal control strategy based on recurrent neural network models. Journal of Process Control, 2005, 15:11-21 Xiong Zhihua, Zhang Jie. Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models. IEE Proceedings-Control Theory and Applications, 2004, 151(2): 158-165 Xiong Zhihua, Zhang Jie. Product quality trajectory tracking in batch processes using iterative learning control based on time-varying perturbation models. Industrial and Engineering Chemistry Research, 2003, 42(26): 6802-6814