苏志刚

动力工程及自动化系 教授,博士生导师
动力工程及自动化系系主任

通讯方式:zhigangsu@seu.edu.cn

研究方向:

1. Nonlinear control theory,

2. Artificial intelligence, Machine learning , Big Data,

and their applications in thermal power engineering.

办公地点:礼西209

 

 

个人简介

        苏志刚,湖北武穴人,工学博士,九三学社社员。国际期刊《International Journal of Approximate Reasoning》(Elsevier, JCR二区)、《Soft Computing》(Springer, JCR二区)和《Array 》(Elsevier)的副主编(Associate Editors)

        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。2010年11月博士毕业留校任教至今,其中,2014年8月——2015年8月美国德克萨斯大学访问学者,师从知名学者、IEEE Fellow Chunjiang Qian教授。

        主要从事能源动力系统智能诊断与优化控制研究。智能诊断方向主要偏重于不确定不精确信息环境下大数据过程的故障诊断问题,优化控制方向主要研究能源系统不确定性分析与自抗扰控制、优化问题。

        截止目前,教学荣获东南大学第十九届青年教师首开课优秀奖、东南大学第二十届青年教师授课竞赛二等奖, 参与申报东南大学教学成果一等奖、二等奖各一项目;主持国家自然科学基金项目三项,参与完成国家自然科学基金(面上、重点)、国家/省科技支撑计划等项目多项,相关重要研究成果在IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, International Journal of Approximate Reasoning,Applied Energy等控制理论、人工智能和能源动力类顶级或主流国际学术期刊上第一作者发表SCI论文20多篇,并被Automatica期刊评选为2016-2017年度杰出审稿人。

教学课程
  1. 本科生专业主干课程:《热工测量原理与仪表》、《热工自动控制系统》。

  2. 硕士/博士研究生课程:《热力发电过程的仿真与控制》(全英文)、《热工测量与控制基础》(部分专题)。



科研 教改项目

主持的主要项目:

  1. 国家自然科学基金(面上项目):宽负荷燃煤机组除尘脱硫灵活协同运行机制与控制方法研究(52076037),58万,主持,2021.01 —2024.12。

  2. 国家自然科学基金(面上项目):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。

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

  4. 东南大学优秀青年教师资助计划(2242014R30002),15万,主持,2014.01—2016.12。

参与的重要项目:

  1. 国家自然科学基金(面上项目):基于证据驱动的超临界W火焰锅炉水冷壁健康状态诊断方法(51876035),60万,参与,2019.01 —2022.12。

  2. 国家自然科学基金(重点项目):热力发电系统节能与优化控制基础研究(51036002),240万,参与,2011.01 —2015.12。



论文 专著

Selected first-author publications ( * corresponding author)

- Control theory

  1. Zhi-gang Su, Yuge Sun, Xiaojin Zhu, Zhuo Chen, Li Sun*,  Robust Tuning of Active Disturbance Rejection Controller for Time-delay Systems with Application to A Factual Electrostatic Precipitator, IEEE Transactions on Control Systems Technology, 2021, In press.

  2. Zhi-gang Su*, Gang Zhao,, Jun Yang, Yi-guo Li, Disturbance Rejection of Nonlinear Boiler-Turbine Unit Using High-Order Sliding Mode Observer, IEEE Transactions on Systems, Man, and Cybernetics: Systems,  2020, 50(12): 5432-5443.  (SCI,JCR一区,  ESI高被引)

  3. Zhi-gang Su,  Yong-sheng Hao, Wenting Zha, Chunjiang Qian*, Semiglobal Stabilization of Linearly Uncontrollable and Unobservable Nonlinear Systems via Sampled-Data Control, International Journal of Robust and Nonlinear Control, 2020. 30(13): 5290-5304. (SCI,JCR二区)

  4. 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)

  5. 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)

- Artificial intelligence

  1. Zhi-gang Su*, Hong-yu Zhou, Yong-sheng Hao, Evidential Evolving C-Means Clustering Method based on Artificial Bee Colony Algorithm with Variable Strings and Interactive Evaluation Mode, Fuzzy Optimization and Decision Making,  2021, 20: 293-313.  (SCI, JCR一区)

  2. Zhi-gang Su*, Qinghua Hu,  Thierry Denoeux,  A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification, IEEE Transactions on Fuzzy Systems,  2021, 29(8): 2322-2335. (SCI,JCR一区)

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

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. 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)

  9. 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)

  10. 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)

  11. 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)

  12. 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)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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一区)

Selected students' publications

  1. Chaoyu Gong, Zhi-gang Su*, Pei-hong Wang, Qian Wang, Yang You, A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-dimensional Data, IEEE Transactions on Knowledge and Data Engineering, Accept to appear, 2022. (SCI, JCR一区)

  2. Chaoyu Gong, Zhi-gang Su*, Pei-hong Wang, Yang You, Distributed Evidential Clustering toward Time Series with Big Data Issue, Expert Systems With Applications, 2022, 191: 116279. (SCI, JCR一区)

  3. Chaoyu Gong, Zhi-gang Su*, Pei-hong Wang, Qian Wang, An Evidential Clustering Algorithm by Finding Belief-peaks and Disjoint Neighborhoods, Pattern Recognition, 2021, 113: 107751. (SCI, JCR一区)

  4. Chaoyu Gong, Zhi-gang Su*, Pei-hong Wang, Qian Wang,Yang You, Evidential Instance Selection for K-Nearest Neighbor Classification of Big Data, International Journal of Approximate Reasoning, 2021, 138: 123-144. (SCI, JCR二区)

  5. Chaoyu Gong, Zhi-gang Su, Pei-hong Wang*, Qian Wang, Cumulative Belief Peaks Evidential K-Nearest Neighbor Clustering, Knowledge-Based Systems, 2020, 200: 105982. (SCI, JCR一区)

  6. Yuge Sun,  Zhi-gang Su*, Li Sun, Gang Zhao, Time-delay Active Disturbance Rejection Control of Wet Electrostatic Precipitator in Power Plants, IEEE Transactions on Automation Science and Engineering, 2022, Accepted to appear.

  7. Yuge Sun, Chuanlin Zhang, Zhi-gang Su*Disturbance Observer-Based Composite Voltage Synchronisation Control of Three-phase Four-leg Inverter Under Load Variation, International Journal of Control, 2020, 95(6): 1645-1657. (SCI)

  8. He Fan, Zhi-gang Su*, Pei-hong Wang, Kwang Y. Lee., A dynamic nonlinear model for a wide-load range operation of ultra-supercritical once-through boiler-turbine units. Energy. 2021. 226: 120425. (SCI, JCR一区)

  9. He Fan, Zhi-gang Su*, Pei-hong Wang, Kwang Y. Lee,  A dynamic mathematical model for once-through boiler-turbine units with superheated steam temperature. Applied Thermal Engineering. 2020. 170: 114912. (SCI, JCR一区)

  10. He Fan, Yu-fei Zhang, Zhi-gang Su*, et al., A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit. Applied Energy. 2017. 189: 654-666. (SCI, JCR一区)

  11. Xian-hua Gao, Shangshang Wei, Zhi-gang Su*, Optimal Model Predictive Rejection Control for Nonlinear Parabotic Trough Collector with Lumped Disturbances, Transactions of The Institute of Measurement and Control, 2021,43(9):1903-1914. (SCI)

Selected cooperative publications

  1. Li Sun, Wenchao Xue*, Donghai Li, Hongxia Zhu, Zhi-gang Su, Quantitative Tuning of Active Disturbance Rejection controller for FOPTD Model with Application to Power Plant Control, IEEE Transactions on Industrial Electrics, 2022, 69(1): 805-815. (SCI, JCR一区)

  2. 郝勇生,王忠维,朱晓瑾,苏志刚*,等,1000MW燃煤机组干式电除尘器浓度闭环控制,华南理工大学学报,2021,49(2):17-24。

  3. Qian Wang, Zhi-gang Su*, Babak Rezaee, Pei-hong Wang, Constructing T-S Fuzzy Model From Imprecise and Uncertain Knowledge Represented As Fuzzy Belief Functions, Neurocomputing, 2015, 166: 319-336.  (SCI, JCR一区)

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. 江苏省教学成果二等奖(8/11)、东南大学教学成果一等奖(8/11),2021年。

  2. 东南大学线上教学优秀案例,2020年。

  3. 东南大学2018-2019年度教书育人、管理育人、服务育人(三育人)积极分子,2020年。

  4. Outstanding reviewer for the journal Automatica, 2016-2017. Z_Su.pdf

  5. 南大学2012年优秀博士学位论文,东南大学,2012年。

  6. 东南大学第二十届青年教师授课竞赛二等奖,东南大学,2013年 (2013年4月27日校长办公室文)。

  7. 东南大学第十九届青年教师首开课优秀奖,东南大学,2012年 。


指导学生

博士研究生:

3.    高宪花,博士研究生,《槽式太阳能集热场最优模型预测抗干扰控制方法研究》,2018.04——2022.07。

2.    巩超宇,博士研究生,《大数据证据驱动型状态监测方法研究及其在锅炉水冷壁上的应用》,2019.03——2022.05。

1.    赵刚,   博士研究生,《非线性压制与抗干扰受限控制方法研究及其在热工过程中的应用》,2015.03——2020.05。

硕士研究生:

5.    傅尧,   硕士研究生,《燃煤机组干式电除尘器出口烟尘浓度预测与能耗优化》,2019.09-2022.05。

4.    周宏宇,硕士研究生,《基于证据进化C均值算法的热工设备状态挖掘方法研究》,2017.09——2020.05。

3.    王忠维,硕士研究生,《燃煤电厂干式电除尘器PID控制方法研究及应用》,2017.06——2020.05。

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。

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。