苏志刚

动力工程及自动化系副教授,博士生导师

通讯方式:zhigangsu@seu.edu.cn

研究方向:

1. Nonlinear control theory,

2. Intelligent data mining under uncertainty ,

and their applications in thermal power engineering.

办公地点:礼西209

 

 

个人简介

苏志刚,博士,九三学社社员,湖北武穴人。2004年7月毕业于中国矿业大学动力系获工学学士学位,分别于2006年8月和2010年10月在东南大学获工学硕士学位和工学博士学位,从事人工智能、机器学习及模式识别方法研究。2010年11月博士毕业留校任教,讲师。2013年4月晋升副教授。2014年8月——2015年8月美国德克萨斯大学访问学者,同时开始从事先进非线性控制理论方法研究。

截止目前,相关研究成果在IEEE Transactions on Automatic Control, IEEE Transactions on Fuzzy Systems, Automatica, International Journal of Approximate Reasoning等国际高水学术期刊上第一作者发表SCI论文20多篇,是IEEE Transactions on Fuzzy Systems, Automatica, Journal of Process Control等多个期刊审稿人,并被Automatica期刊评选为2016-2017年度杰出审稿人。

教学课程

本科生课程《热工测量原理与仪表》。


科研 教改项目
  1. 国家自然科学基金(面上):超(超)临界燃煤机组非线性压制与抗干扰受限控制方法研究(51676034),60万,主持,2017.01 —2020.12。

  2. 国家自然科学基金(青年):热工过程无样本参量的认知建模理论方法(51106025),25万,主持,2012.01—2014.12。

  3. 东南大学优秀青年教师科学研究资助基金(2242014R30002),15万,主持,2014.01—2016.12。

  4. 国家自然科学基金(面上):燃煤火电机组煤粉浓度超声波检测机理与方法研究(51476028),参与,2015.01—2018.12。

  5. 国家自然科学基金(重点):热力发电系统节能与优化控制基础研究(5036002),参与,2011.01—2014.12。

  6. 江苏省科技支撑计划:煤炭高效洁净燃烧之先进测控技术研究及系统实现(BE2010183),参与,2010.05—2012.12。

论文 专著

Selected publications ( * corresponding author)

- Control theory

  1. Zhi-gang Su*, Gang Zhao,, Jun Yang, Yi-guo Li, Disturbance rejection of nonliear boiler-turbine unit using high-order sliding mode observer, IEEE Transactions on Systems, Man, and Cybernetics: Systems, In press, 2019.  (SCI,JCR一区)

  2. Zhi-gang Su*, Chunjiang Qian, Yong-sheng Hao, Ming Zhao, Global stabilization via sampled-data output feedback for large-scale systems interconnected by inherent nonlinearities,  Automatica , 2018, 92: 254-258. (SCI,JCR一区)

  3. Zhi-gang Su*, Chunjiang Qian, Jiong Shen, Interval homogeneity-based control for a class of nonlinear systems with unknown power drifts, IEEE Transactions on Automatic Control , 2017, 62(3): 1445-1450. (SCI,JCR一区)

  4. Zhi-gang Su*, Pei-hong Wang, Yu-fei Zhang, Automatic T-S fuzzy model with application to designing predictive controller, Computer Science and Information Systems, 2012, 9(4):1577-1601.(SCI)

- Artificial intelligence, machine learning and pattern recognition

  1. Zhi-gang Su*, Thierry Denoeux,  BPEC: Belief-Peaks Evidential Clustering, IEEE Transactions on Fuzzy Systems, 2019, 27(1): 111-123. (SCI,JCR一区)

  2. Zhi-gang Su*, Thierry Denoeux, Yong-sheng Hao, Ming Zhao, Evidential K-NN classification with enhanced performance via optimizing a class of parametric t-rules, Knowledge-Based Systems, 2018, 142: 7-16. (SCI,JCR一区)

  3. Zhi-gang Su*, Pei-hong Wang, Yi-guo, Li, Ze-kun Zhou, Parameter estimation from interval-valued data using the EM algorithm, Journal of statistical computation and simulation, 2015, 85(2): 320-338.(SCI)

  4. Zhi-gang Su*, Shu-rong Zheng, Pei-hong Wang, Likelihood-based multivariate fuzzy model with linear inequality constraints, Journal of intelligent & fuzzy systems, 2014, 27(5): 2191-2209.  (SCI)

  5. Zhi-gang Su*, Pei-hong Wang, Regression analysis of belief functions on interval-valued variables: Comparative studies, Soft computing, 2014, 18(1):51-70.(SCI,JCR二区)

  6. Zhi-gang Su*, Yi-fan Wang, Pei-hong Wang, Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework, International Journal of Approximate Reasoning, 2013, 54(8):1217-1242.(SCI,JCR二区)

  7. Zhi-gang Su*, Pei-hong Wang, Zhao-long Song, Kernel based nonlinear fuzzy regression model, Engineering Applications of Artificial Intelligence, 2013, 26(2):724-738.(SCI,JCR一区)

  8. Zhi-gang Su*,Pei-hong Wang, Minimizing neighborhood evidential decision error for feature evaluation and selection based on evidence theory, Expert Systems With Applications, 2012, 39(1): 527-540. (SCI,JCR一区)

  9. Zhi-gang Su*, Pei-hong Wang, Jiong Shen, et al., Convenient T-S fuzzy model with enhanced performance using a novel swarm intelligent fuzzy clustering technique, Journal of Process Control, 2012, 22(1): 108-124. (SCI,JCR二区)

  10. Zhi-gang Su*, Pei-hong Wang, Jiong Shen, et al., Automatic fuzzy partitioning approach using variable string length artificial bee colony (VABC) algorithm, Applied Soft Computing,2012,12(11): 3421-3441. (SCI,JCR一区)

  11. Zhi-gang Su*, Pei-hong Wang, Maximal confidence interval of interval-valued belief structure and its applications, Information Sciences, 2011,181(9): 1700-1721. (SCI,JCR一区)

  12. Zhi-gang Su*, Pei-hong Wang, Xiang-jun Yu, et al., Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty, Applied Soft Computing, 2011, 11(2): 2595-2610. (SCI,JCR一区)

  13. Zhi-gang Su*, Pei-hong Wang, Xiang-jun Yu, Immune genetic algorithm-based adaptive evidential model for estimating unmeasured parameter:Estimating levels of coal powder filling in ball mill, Expert Systems With Applications, 2010, 37(7): 5246-5258. (SCI,JCR一区)

  14. Zhi-gang Su*, Pei-hong Wang, Improved adaptive evidential K-NN rule and its application for monitoring level of coal powder filling in ball mill, Journal of Process Control, 2009, 19(10): 1751-1762. (SCI,JCR二区)

  15. Zhi-gang Su*, Pei-hong Wang, Xiang-jun Yu, et al., Experimental investigation of vibration signal of an industrial tubular ball mill: monitoring and diagnosing, Minerals Engineering, 2008, 21(10): 699-710.  (SCI,JCR二区)

- BOOK

  1. 王培红,苏志刚.《热工过程特殊参量的认知建模方法——证据理论的拓展与应用》.东南大学出版社,2012年8月.
    Pei-hong Wang, Zhi-gang Su, Modeling approach on cognizing specific parameters in thermal process: extensions and applications of evidence theory. Southeast University Press, Aug., 2012.


专利申请
荣誉 奖励
  1. Outstanding reviewer for the journal Automatica, 2016-2017. Z_Su.pdf

  2. 南大学2012年优秀博士学位论文,东南大学,2012年。

  3. 东南大学第二十届青年教师授课竞赛二等奖,东南大学,2012年。

  4. 东南大学第十九届青年教师首开课优秀奖,东南大学,2011年。


指导学生
  1. 詹俊,硕士研究生,《典型非线性热工过程Galerkin最优控制方法研究》,2015.09——2018.03。

  2. 高宪花,硕士研究生,《电站锅炉NOx排放与再热汽温混合建模及多目标优化》,2015.09——2018.03。