CV – Professor Yiguo LI
Qualifications:
B.Eng. (TYUT, China), 1995; M.Eng., 1998 and PhD, 2002
(SEU, China).
Career:
4/98 – 8/99
Engineer, Jiangsu Electric Power Test and
Research Institute, China.
9/02 –
Lecturer (9/02-4/05), Associate Professor
(5/05-4/14) and Professor (5/14-), School of
Energy and Environment, SEU, China.
Professional Activities:
Review service for grant scheme and journal/conference
papers. For example, Control Engineering Practice, ISA
Transactions, IEEE Trans. on Energy Conversion, the IFAC
World Congress, the IEEE Conference on Control and
Decision, NSFC (China) etc.
Research Interests:
Modeling, simulation and advanced control of thermal power
plants and renewable energy sources. Computational
intelligence, intelligent control and their applications to energy
systems.
Research Publication and Contribution:
>70 publications.Ten representative recent publications are:
1. X. Wu, J. Shen, Y.G. Li, K.Y. Lee. Hierarchical optimization
of boiler–turbine unit using fuzzy stable model predictive
control. Control Engineering Practice, 30, (2014) 112-123.
2. X. Wu, J. Shen, Y.G. Li, K.Y. Lee. Data-driven modeling
and predictive control for boiler-turbine unit using fuzzy
clustering and subspace methods. ISA Transactions, 53,
(2014) 699-708.
3. Z.G. Su, P.H. Wang, Y.G. Li, Z.K. Zhou. Parameter
estimation from interval-valued data using the EM
algorithm. Journal of statistical computation and simulation
(in press).
4. X. Wu, J. Shen, Y.G. Li, K.Y. Lee. Fuzzy modeling and
stable model predictive tracking control of large-scale
power plants. Journal of Process Control, 24, (2014) 16091626.
5. X. Wu, J. Shen, Y.G. Li, K.Y. Lee. Data-driven modeling
and predictive control for boiler–turbine unit. IEEE
Transactions on Energy Conversion, 28, (2013) 470-481.
6. X. Zhou, J. Shen, Y.G. Li. Immune based chaotic artificial
bee colony multiobjective optimization algorithm. Lecture
Notes in Computer Science, 7928, (2013) 387-395.
7. Y.G. Li, J. Shen, K.Y. Lee, X.C. Liu. Offset-free fuzzy
model predictive control of a boiler-turbine system based
on genetic algorithm, Simulation Modelling Practice and
Theory, 26, (2012) 77-95.
8. Y.G. Li, J. Shen, K.Y. Lee, X.C. Liu. Data-driven nonlinear
control of a solid oxide fuel cell system, Journal of Central
South University, 19, (2012) 1892-1901.
9. Y.G. Li, J. Shen, J.H. Lu. Constrained model predictive
control of a solid oxide fuel cell based on genetic
optimization. Journal of Power Sources, 196, (2011) 5873–
5880.
10. J. Wu, J. Shen, Y.G. Li. The design of the superheatedsteam temperature immune control system and its BIBO
stability analysis. Cybernetics and Systems, 40, (2009)
310–325.
Research Grants and Contracts:
Conducted and participated over 20 sponsored research
projects. For example,
 “Energy-saving Monitoring and Optimization of Supercritical
Thermal Power Plants,” project supported by the National
Key Technology R&D Program of China for 2015-2017.
 “Optimization Control of Low NOx Combustion in Thermal
Power Plants,” NSF project of China for 2015-2018.
 “Boiler Combustion Optimization Using Multiobjective
Economic Predictive Control,” NSF project of Jiangsu
Province, China for 2015-2017.
 “Closed-loop Dynamic Optimization Control of Energy
Systems Based on Extremum-seeking Predictive Control,”
NSF project of China for 2011-2013.
 “Energy-saving and Optimizing Control for Large Scale
Coal-fired Power Units,” project supported by the State Key
Program of National Natural Science of China for 20112014.
 “Data-driven Multimodel Predictive Control of Thermal
Power Processes,” project supported by the Doctoral Fund
of Ministry of Education of China for 2014-2016.
 “Stable Adaptive Predictive Control of Complex Thermal
Power Processes Based on Affine Fuzzy Model,” project
supported by the Doctoral Fund of Ministry of Education of
China for 2010-2012.
 “Header Pressure Control of Parallel-Coursing Units Based
on Immune Agents,” NSF project of China for 2006-2008.
Research Supervision:
Supervised 12 graduate students (one Ph.D., 11 MS students).
Contact:
Address: School of Energy and Environment, Southeast
University, Nanjing, China.
Phone: +86 25 83795951; Email: lyg@seu.edu.cn
Website: http://power.seu.edu.cn/s/474/t/1897/main.htm