Yang received the Bachelor's degree in Electrical Engineering from
Civil Aviation University of China, the Master of Science Degree in
Control Science and Engineering from Institute of Automation, Chinese
Academy of Sciences, and the Ph.D. degree in Electrical Engineering from
the University of Missouri-Rolla.
He has been an advanced system engineer with Caterpillar Inc., and a Post-doctoral Research Associate at University of Connecticut. Since 2010, he has been with the State Key Laboratory of Industrial Control Technology, the College of Control Science and Engineering, Zhejiang University, China, where he is currently a professor. He has also held visiting positions in University of Toronto and Lehigh University. He has been serving as an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Neural Networks and Learning Systems, Transactions of the Institute of Measurement and Control, Processes, and Automatica Sinica. His research interests include intelligent control, renewable energy systems, smart grid, and industrial big data.
Speech title: Theoretical research and practice in intelligent control design for wind energy
energy has been considered to be a promising alternative to current
fossil-based energies. Large-scale wind turbines have been widely
deployed to substantiate the renewable energy strategy of various
countries. In this talk, challenges faced by control community for high
reliable and efficient exploitation of wind energy are discussed.
Advanced controllers are designed to (partially) overcome problems, such
as uncertainty, intermittence, and intense dynamics. Theoretical
results and attempts for practice are both present.