Dexian Huang, Ph.D.

Department of Automation, Tsinghua University, Beijing 100084, China
Tel: +86-10-62784964  Fax: +86-10-62786911
E-mail: huangdx@tsinghua.edu.cn

Education background

Ph.D., Control Theory and Control Engineering, November. 1999
Tsinghua University, Beijing, China

Master of Engineering, Industrial Automation, Jun 1988
China University of Petroleum(Beijing), Beijing, China

Bachelor of Engineering, Chemical Automation and Instrument, July 1982
China University of Petroleum(HuaDong), Dongyin, ShangDong Province, China

Experience

12/2000-present Professor, Dept. of Automation, Tsinghua Univ.

06/1995-12/2000 Professor, Dept. of Automation, China University of Petroleum(Huadong).

05/1998-05/1999 Senior Visiting Scholar, Dept. of Chemical Engineering, University of Newcastle, UK.

06/1988-09/1995 Lecture and Associate Professor, Dept. of Automation, China University of Petroleum(Huadong).

07/1982-09/1985 Assistant Professor, Dept. of Automation, China University of Petroleum(Huadong).

Social service

CONFERENCE
IFAC ADCHEM 2003, Organizing Committee Member
IEEE ICNSC 2009 International Program Committee Member

ACADEMIC ORGANIZATION
Honorary Member of Chinese Association of Automation, (2018~ Present)
Vice-Director, Process Control Committee, Chinese Association of Automation, (2008~2019)
Vice-Director, IT Committee, Chemical Industry and Engineering Society of China, (2002~2018)
Editorial Committee Member, Chinese Journal of Chemical Engineering,(2007~ Present)

Areas of Research Interests/ Research Projects

Hi-tech Research and Development Program of China (National 863 Project:2001AA413130): Advanced control technology and software for complex industry process. (2001.11~2003.12)
973 Sub-Project (2002CB312203): Study on real-time, intelligent operation and optimization theories and methods for complex manufacturing process. (2002.12~2008.5)
Hi-tech Research and Development Program of China (National 863 Project:2004AA412050): Research and development of advanced control technology and software for petrochemical production process. (2004.10~2005.10)
National Science Funding, China, (60574072): Study on optimization scheduling theories and methods for complex production process (2006.1~2008.12)
Hi-tech Research and Development Program of China (National 863 Project: 2007AA04Z193): Integration technology of process control and optimization and application for energy saving and consumption reduction of petrochemical industry. (2007.10~2010.06)
National Science Funding, China, (60974008): Study on the real time optimization and control technology of high-purity distillation process via piecewise linear approximation (2010.1~2012.12)
National Science Funding, China, (60974008): Study on the real time optimization and control technology of high-purity distillation process via piecewise linear approximation (2010.1~2012.12)
National Science Funding, China, (21276137): Research on theory and methods of integrated optimization control and schedule optimization for refinery process (2013.1~2016.12)
Hi-tech Research and Development Program of China (National 863 Project: 2012AA040702): Facing the chlor alkali chemical industry energy saving and environmental protection and safety control of the development and application of MES (2013.1~2015.12)
National Basic Research Program of China (National 973 Project 2012CB720505)): Monitoring, diagnostics and intelligent control of complex systems (2012.1~2016.12).
National Science Funding, China, (61433001): Alarm Design and Removal Methods and Applications for Highly Efficient and Safe Operation of Large-Scale Industrial Systems (2015.1~2019.12)
National Science Funding, China, (61673236): Online estimation and optimization of key operation parameters of coal gasification process based on the analysis of big data (2017.1~2020.12)

Research Status

Process Modeling
Advanced Process Control

Real-time Optimization

Honors And Awards

First Award of the Scientific and Technological Inventions, China National Association of Automation in Petroleum and Chemical Indusrial,2013
First Award of the Scientific and Technological Inventions, China National Association of Automation in Petroleum and Chemical Indusrial,2011
Award of Contribution for Scholarship, IT Committee, Chemical Industry and Engineering Society of China, 2010
Award of Contribution for Education, IT Committee, Chemical Industry and Engineering Society of China, 2010
Award of Contribution for Process Control, Chinese Association of Automation, 2009
Second Prize for Science and Technology Advances, ShangDong Province, China, 2004

Academic Achievement

1. Shang, C; Yang, F; Huang, B; Huang, DX. Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. 65(11): 8895-8905. 2018

2. Gao, Xiaoyong; Wang, Yuhong; Feng, Zhenhui; Huang, DX. Plant Planning Optimization under Time-Varying Uncertainty: Case Study on a Poly(vinyl chloride) Plant. IDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 57(6):12182-12191. 2018

3. Gao, XY; Huang, DX; Jiang, YH; Chen, T. A decision tree based decomposition method for oil refinery scheduling. CHINESE JOURNAL OF CHEMICAL ENGINEERING. 26(SI): 1605-1612.2018

4. Su, JJ; Guo, C; Zang, H; Yang, F; Huang, DX; Gao, XY; Zhao, YA. A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES. 54: 1-9. 2018

5. Gao, XY; Feng, ZH; Wang, YH; Huang, XL; Huang, DX; Chen, T; Lian, X. Piecewise Linear Approximation Based MILP Method for PVC Plant Planning Optimization. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH.  57( 4): 1233-1244. 2018

6. F. Li, J. Zhang, C. Shang, D. Huang, E. Oko, and M. Wang. Modelling of a post-combustion CO2 capture process using deep belief network. Applied Thermal Engineering, 130, 997-1003. 2018

7. Gao, XQ; Yang, F; Huang, DX . Model Quality Assessment and Model Mismatch Detection: A Temporal Smoothness Regularization Approach. 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), Shenyang, PEOPLES R CHINA, JUL 25-27, 2018

8. Shang, C; Yang, F; Huang, DX. A Systematic Approach to Dynamic Monitoring of Industrial Processes Based on Second-Order Slow Feature Analysis. 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), Shenyang, PEOPLES R CHINA, JUL 25-27, 2018

9. Gao Xiaoyong,Huang Dexian, Jiang Yongheng,Chen, Tao. A decision tree based decomposition method for oil refinery scheduling, CHINESE JOURNAL OF CHEMICAL ENGINEERING,2018,26 (8): 1605-1612. 2018

10. WANG Kangcheng, SHANG Chao, KE Wensi, JIANG Yongheng, HUANG Dexian,Automatic structure and parameters tuning method for deep neural network soft sensor in chemical industries,CIESC Journal,69(3):900-906+1253,2018

11.GAO Xiaoyong, FENG Zhenhui, WANG Yuhong, HUANG Dexian. Decomposition algorithm for PVC plant planning optimization based on piecewise linear approximation. CIESC Journal. 69(3): 953-961. 2018

12. Xiaoyong Gao, Nan Ru, Yongheng Jiang, Tao Chen, Dexian Huang, Xin Zuo,Refinery operation scheduling considering both varying feedstocks and operating conditions: an industrial data-based modeling method,Proceedings of 13TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE 2018), JULY 1-5 2018 in San Diego, California, USA

13. Lei LIU, Kangcheng WANG, Chao SHANG, Fan YANG, Wenxiang LYU and Dexian HUANG,Dynamic soft sensor based on impulse response template and deep neural network for industrial processes,Proceedings of 4th International Conference onFuzzy Systems and Data Mining (FSDM 2018), November 16 to 19, 2018 in the Bangkok, Thailand.

14. Gao, Xinqing; Shang, Chao; Huang, Dexian; Yang, Fan,A novel approach to monitoring and maintenance of industrial PID controllers, CONTROL ENGINEERING PRACTICE, 64:111-126. 2017

15. Gao, XY; Qi, LG; Lyu, WX; Chen, T; Huang, DX. RIMER and SA based thermal efficiency optimization for fired heaters. FUEL. 205: 272-285. 2017

16. X. Gao, F. Yang, C. Shang, and D. Huang. A novel data-driven method for simultaneous performance assessment and retuning of PID controllers. Industrial & Engineering Chemistry Research, 56(8), 2127-2139. 2017

17. X. Gao, J. Zhang, F. Yang, C. Shang, and D. Huang. Robust Proportional-Integral-Derivative (PID) design for parameter uncertain Second-Order Plus Time Delay (SOPTD) processes based on reference model approximation. Industrial & Engineering Chemistry Research, 56(41), 11903-11918. 2017

18. HUANG De-Xian,JIANG Yong-Heng, JIN Yi-Hui1,Present Research Situation, Major Bottlenecks, and Prospect of Re?nery Industry Process Control, ACTA AUTOMATICA SINICA, 43(06):902-916,2017

19. K. Wang, C. Shang, F. Yang, Y. Jiang, and D. Huang. Automatic hyper-parameter tuning for soft sensor modeling based on dynamic deep neural network. IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, October 5-8, 2017.

20. Shen, Wenyi; Gao, Xinqing; Yang, Fan; Identification of FIR models using basis models of first-order plus time delays,6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) , Taipei, TAIWAN, MAY 28-31, 2017

21. Wensi Ke,Dexian Huang, Fan Yang and Yongheng Jiang, Soft sensor development and applications based on LSTM in deep neural network,2017 IEEE Symposium Series on Computational Intelligence (SSCI) ,Hilton Hawaiian Village Resort in Waikiki, USA, November 27-December 1, 2017

22. C. Shang, B. Huang, F. Yang, and D. Huang. Slow feature analysis for monitoring and diagnosis of control performance. Journal of Process Control, 39, 21-34. 2016

23. B. Jiang, F. Yang, D. Huang. Simultaneous structure and parameter identification of multivariate systems by matrix decomposition. Transactions of the Institute of Measurement and Control, 38: 1411–1420, 2016.

24. Tian, MM; Gao, XY; Jiang, YH; Wang, L; Huang, DX, Plantwide Scheduling Model for the Typical Polyvinyl chloride Production by Calcium Carbide Method, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,55(21): 6161-6174, 2016

25. Tian, MM; Gao, XY; Jiang, YH; Huang, DX; Wang, L,Decomposition Algorithm for the Scheduling of Typical Polyvinyl Chloride Production by Calcium Carbide Method, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,55(47): 12256-12267, 2016

26. X. Gao, F. Yang, C. Shang, and D. Huang. A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era. Chinese Journal of Chemical Engineering, 24(8), 952-962.2016

27. F. Guo, C. Shang, B. Huang, K. Wang, F. Yang, and D. Huang. Monitoring of operating point and process dynamics via probabilistic slow feature analysis. Chemometrics and Intelligent Laboratory Systems, 151, 115-125. 2016

28. GAO Xiaoyong, JIANG Yongheng, HUANG Dexian;Process modelling based on integration of unitwide optimal process control and plantwide scheduling. CIESC  Journal,67(12):5105-5111, 2016

29. QI Lugang, LI Lili,  Lü Wenxiang, GAO Xiaoyong, LUAN Zhiye, HUANG Dexian. A predictive control algorithm of integral processes based on state correction and its application. CIESC  Journal,67(3):685-689, 2016

30. QI Lugang, Lü Wenxiang, GAO Xiaoyong, LUAN Zhiye, HUANG Dexian.  Coordinated control of multiple liquid levels and furnace composite system. CIESC Journal. 67(03):690-694, 2016

31. C. Shang, B. Huang, Y. Lu, F. Yang, and D. Huang. Dynamic modeling of gross errors via probabilistic slow feature analysis applied to a mining slurry preparation process. 17th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing, Vienna, Austria, August 31-September 2, 2016.

32. C. Shang, B. Huang, Y. Lu, F. Yang, and D. Huang. Recursive slow feature analysis for adaptive monitoring of industrial processes. 27th Chinese Process Control Conference, Lanzhou, China, July 30-August 1, 2016.

33. B. Jiang, F. Yang, W. Wang, D. Huang. Simultaneous identification of bi-directional paths in closed-loop systems with colored noise. Automatica, 58:139–142, 2015.

34. C. Shang, B. Huang, F. Yang, and D. Huang. Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling. AIChE Journal, 61(12), 4126-4139. 2015

35. C. Shang, F. Yang, X. Gao, X. Huang, J.A.K. Suykens, and D. Huang. Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis. AIChE Journal, 61(11), 3666-3682. 2015

36. B. Jiang, X. Zhu, D. Huang, R.D. Braatz. Canonical variate analysis-based monitoring of process correlation structure using causal feature representation. Journal of Process Control, 32:109–116, 2015.

37. B. Jiang, X. Zhu, D. Huang, J. Paulson, R.D. Braatz. A combined canonical variate analysis and fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. Computers & Chemical Engineering, 77:1-9, 2015

38. B. Jiang, D. Huang, X. Zhu, F. Yang, R.D. Braatz. Canonical variate analysis-based contributions for fault identification. Journal of Process Control, 26: 17–25, 2015.

39. B. Jiang, F. Yang, W. Wang, D. Huang. Simultaneous identification of bi-directional path models based on process data. IEEE Transactions on Automation Science and Engineering, 12: 666–679, 2015.

40. L.H. Chiang, B. Jiang, X. Zhu, D. Huang, R.D. Braatz. Diagnosis of multiple and unknown faults using the causal map and multivariate statistics. Journal of Process Control, 28: 27–39, 2015.

41. C. Shang, X. Huang, J.A.K. Suykens, and D. Huang. Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach. Journal of Process Control, 28, 17-26. 2015

42. Xiaoyong Gao; Yongheng Jiang; Tao Chen; Dexian Huang. Optimizing scheduling of refinery operations based on piecewise linear models , Computers & Chemical Engineering, 75:05-119, 2015

43. Lei Shi, Yongheng Jiang, Ling Wang, Dexian Huang, A novel two-stage Lagrangian decomposition approach for re?nery production scheduling with operational transitions in mode switching. Chinese Journal of Chemical Engineering.  23: 1793–1800. 2015

44. C. Shang, F. Yang, X. Gao, and D. Huang. Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression. American Control Conference, Chicago, US, July 1-3, 2015.

45. C. Shang, X. Gao, F. Yang, W. Lyu, and D. Huang. A comparative study on improved DPLS soft sensor models applied to a crude distillation unit. International Symposium on Advanced Control of Chemical Processes (AdChem), Whistler, Canada, June 7-10, 2015.

46. X. Gao, C. Shang, F. Yang, and D. Huang. Detecting and isolating plant-wide oscillations via slow feature analysis. American Control Conference, Chicago, US, July 1-3, 2015.

47.TIAN Miaomiao, JIANG Yongheng, HUANG Dexian, Integrated scheduling for polyvinyl chloride productive processes, CIESC  Journal, 66(1):251-258, 2015.

48. Shang, Chao; Yang, Fan; Huang, Dexian; Lyu, Wenxiang, Data-driven soft sensor development based on deep learning technique, Journal of Process Control, v 24, n 3, p 223-233, March 2014

49. C. Shang, X. Gao, F. Yang, and D. Huang. Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response. IEEE Transactions on Control Systems Technology, 22(4), 1550-1557. 2014

50.  X. Gao, C. Shang, Y. Jiang, D. Huang, and T. Chen. Refinery scheduling with varying crude: A deep belief network classification and multimodel approach. AIChE Journal, 60(7), 2525-2532. 2014

51. Shi, Lei; Jiang, Yongheng; Wang, Ling; Huang, Dexian, Refinery production scheduling involving operational transitions of mode switching under predictive control system, Industrial and Engineering Chemistry Research, v 53, n 19, p 8155-8170, May 14, 2014

52. Gao, XY; Jiang, YH ; Huang, DX ; Xiong, ZH. A novel high level canonical piecewise linear model based on the simplicial partition and its application. ISA TRANSACTIONS. 53(5): 1420-1426. 2014

53. Tian, XM; Wang, P; Huang, DX; Chen, S. Offset-free multistep nonlinear model predictive control under plant-model mismatch. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING.  28(3-5): 444-463. 2014

54.Gao, Xinqing; Yang, Fan; Huang, Dexian; Ding, Yanjun, An iterative two-level optimization method for the modeling of wiener structure nonlinear dynamic soft sensors, Industrial and Engineering Chemistry Research, v 53, n 3, p 1172-1178, January 22, 2014

55. Wei, YJ; Jiang, YH; Huang, DX. A Three-section Algorithm of Dynamic Programming Based on Three-stage Decomposition System Model for Grade Transition Trajectory Optimization Problems. CHINESE JOURNAL OF CHEMICAL ENGINEERING. 22(10): 1122-1130. 2014

56. Wang, P ; Yang, CH; Tian, XM; Huang, DX. Adaptive Nonlinear Model Predictive Control Using an On-line Support Vector Regression Updating Strategy. CHINESE JOURNAL OF CHEMICAL ENGINEERING. 22(7): 774-781. 2014

57. WEI Yujie, SHANG Chao, GAO Xinqing, FAN Zhi, HUANG Dexian, Dynamic process based soft sensing of melt flow rate, CIESC  Journa, 65(8): 3062-3070,2014

58. Y. Ma, C. Shang, F. Yang, and D. Huang. Latent subspace clustering based on deep neural networks. International Symposium on Advanced Control of Industrial Processes (AdConip), Hiroshima, Japan, May 28--30, 2014.

59.Yu X., Xiong Z., Huang D., Jiang Y. Model-based iterative learning control for batch processes using generalized hinging hyperplanes. Industrial and Engineering Chemistry Research,52(4):1627-1634, 2013

60. Wei Y., Jiang Y., Yang F., Huang D.,Three-stage decomposition modeling for quality of gas-phase polyethylene process based on adaptive hinging hyperplanes and impulse response template. Industrial and Engineering Chemistry Research,52(16):5747-5756, 2013

61. B. Jiang, F. Yang, D. Huang, W. Wang. Extended-AUDI method for simultaneous determination of causality and models from process data. American Control Conference, Washington, June 2013: 2491–2496. 

62.YU Bing,GAO Xiaoyong,BAI Liang,SHI Lei,JIANG Yongheng, HUANG Dexian,Design and development of refinery scheduling optimization system, CHEMICAL INDUSTRY AND ENGINEERING PROGRESS. 32(2):475-480, 2013年

63.Zhou, Chang; Liu, Qiyue; Huang, Dexian; Zhang, Jie. Inferential estimation of kerosene dry point in refineries with varying crudes. Journal of Process Control, v 22, n 6, p 1122-1126, July 2012

64.Yu, Xiaodong; Huang, Dexian; Jiang, Yongheng; Jin, Yihui. Iterative learning belief rule-base inference methodology using evidential reasoning for delayed coking unit. Control Engineering Practice, v 20, n 10, p 1005-1015, October 2012

65. B. Jiang, F. Yang, Y. Jiang, D. Huang. An extended AUDI algorithm for simultaneous identification of forward and feedback paths in closed-loop systems. Proceedings of the 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore, July 2012: 396–401.

66.Bai, Liang; Jiang, Yongheng; Huang, Dexian. A novel two-level optimization framework based on constrained ordinal optimization and evolutionary algorithms for scheduling of multipipeline crude oil blending.  INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, v 51, n 26, p 9078-9093, July 4, 2012

67.BAI Liang, WANG Junyan, JIANG Yongheng and HUANG Dexian. Improved hybrid differential evolution-estimation of distribution algorithm with feasibility rules for NLP/MINLP engineering optimization problems. Chinese Journal of Chemical Engineering, v 20, n 6, p 1074-1080, December 2012

68.Jiang, Benben; Yang, Fan; Jiang, Yongheng; Huang, Dexian, An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems,IFAC Proceedings Volumes (IFAC-PapersOnline), v 8, n PART 1, p 396-401, 2012, 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012

69.Yu, Xiaodong ; Wei, Yujie ; Huang, Dexian1 ; Jiang, Yongheng ; Liu, Bo ; Jin, Yihui, Intelligent switching expert system for delayed coking unit based on iterative learning strategy, Expert Systems with Applications,2011,38(7): 9023-9029

70.Bai, Liang; Jiang, Yongheng; Huang, Dexian; Liu, Xianguang, A novel scheduling strategy for crude oil blending, Chinese Journal of Chemical Engineering, v 18, n 5, p 777-786, October 2010

71.LU, Wenxiang; ZHU, Ying; HUANG, Dexian; JIANG, Yongheng; JIN, Yihui, A New Strategy of Integrated Control and On-line Optimization on High-purity Distillation Process, Chinese Journal of Chemical Engineering, v 18, n 1, p 66-79, February 2010

72.Lu, Wenxiang; Yang, Qing; Huang, Dexian; Jin, Yihui,A dynamic soft-sensing method based on impulses response template and parameter estimation with Modified DE Optimization,IFAC Proceedings Volumes, v 17, n 1, 2008

73.Qian, B.; Wang, L.; Hu, R.; Huang, D.X.; Wang, X., A DE-based approach to no-wait flow-shop scheduling, Computers and Industrial Engineering,v 57, n 3, p 787-805, October 2009

74.Qian, B.; Wang, L.; Huang, D.X.; Wang, X., An effective hybrid DE-based algorithm for flow shop scheduling with limited buffers,International Journal of Production Research, v 47, n 1, p 1-24, January 2009

75.Qian, Bin; Wang, Ling; Huang, De-xian; Wang, Wanliang;Wang, Xiong, An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers, Computers and Operations Research, v 36, n 1, p 209-233, January 2009

76.Qian, Bin; Wang, Ling; Huang, De-Xian; Wang, Xiong, Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution, Soft Computing, v 13, n 8-9, p 847-869, 2009

77.Qian, Bin; Wang, Ling; Huang, De-Xian; Wang, Xiong, Scheduling multi-objective job shops using a memetic algorithm based on differential evolution, International Journal of Advanced Manufacturing Technology, v 35, n 9-10, p 1014-1027, January 2008

78.Qian, Bin; Wang, Ling; Hu, Rong; Wang, Wan-Liang;Huang, De-Xian; Wang, Xiong, A hybrid differential evolution method for permutation flow-shop scheduling,International Journal of Advanced Manufacturing Technology, v 38, n 7-8, p 757-777, September 2008

79.ZHANG, Weiyong; HUANG, Dexian; WANG, Yudong; WANG,Adaptive State Feedback Predictive Control and Expert Control for a Delayed Coking Furnace,Chinese Journal of Chemical Engineering, v 16, n 4, p 590-598, 2008

80. Liu, Bo ; Wang, Ling; Jin, Yi-Hui; Huang, De-Xian;Tang, Fang, Control and synchronization of chaotic systems by differential evolution algorithm, Chaos, Solitons and Fractals, v 34, n 2, p 412-419, October 2007

81.Liu, Bo; Wang, Ling; Jin, Yi-Hui; Tang, Fang; Huang,De-Xian, Directing orbits of chaotic systems by particle swarm optimization, Chaos, Solitons and Fractals, v 29, n 2, p 454-461, July 2006

82.Li, Xiugai; Huang, Dexian, PSO based surrogate model steady state optimization with its application ,Proceedings of the World Congress on Intelligent Control and Automation (WCICA), v 2, p 6578-6582, 2006, Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

83.Li, Xiugai; Huang, Dexian; Jin, Yihui, Nonlinear predictive control based on wavelet neural network applied to polypropylene process steady states controller for nonlinear system and its application,: Lecture Notes in Computer Science, v 3498, n III, p 15-20, 2005, Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks. Proceedings

84.Li, Xiugai; Huang, Dexian; Gao, Dongjie, State feedback predictive control for hybrid system via parametric optimization, Chinese Journal of Chemical Engineering, v 13, n 5, p 634-641, October 2005

85.Wang, Yuhong; Huang, Dexian; Jin, Yihui, Hybrid model predictive control for handling infeasibility and constraint prioritization, Chinese Journal of Chemical Engineering, v 13, n 2, p 211-217, April 2005

86.Wang, Yu-Hong; Huang, De-Xian; Gao, Dong-Jie; Jin, Yi-Hui, Nonlinear predictive control based on LS-SVM, Control and Decision, v 19, n 4, p 383-387, April 2004

87.Chen, Libei; Hontoir, Yves; Huang, Dexian; Zhang, Jie; Morris, A. Julian,  Combining first principles with black-box techniques for reaction systems, Control Engineering Practice, v 12, n 7, p 819-826, July 2004

88.Wang, YH; Huang, DX; Gao, DJ; Jin, YH. Wavelet networks based soft sensors and predictive control in fermentation process.  8th International Symposium on Process Systems Engineering.  KUNMING, PEOPLES R CHINA. JUN 22-27, 2003. PROCESS SYSTEMS ENGINEERING 2003, PTS A AND B : COMPUTER-AIDED CHEMICAL ENGINEERING. 15: 1222-1227. 2003

89.Huang, DX; Jin, YH; Zhang, J; Morris, AJ. Non-linear chemical process modelling and application in epichlorhydrine production plant using wavelet networks. CHINESE JOURNAL OF CHEMICAL ENGINEERING. 10(4):435-443. 2002

90.Dexian Huang; Yihui Jin. Wavelet networks based general multi-variable non-linear system identification arithmetic and its application. Control Theory & Applications.    18:3-8. 2001


BOOKS
1.Huang Dexian etc., “Process Control System”, Beijing:Tsinghua University Press, 2011.

2.Huang Dexian etc., “Chemical Process Advanced Control”, Beijing:Chemical Industry Press, 2006.

 

COURSES TAUGHT
Undergraduate
Process Control (2004~2014)
Graduate
Integrated Automation:Theory and Techniques (2005~2014)