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Block-Oriented Nonlinear System Identification: Standard Least Square Methods and Least Square Methods for a Block-Oriented System

Wednesday, September 6, 2017, 2:00 PM - 3:00 PM
W.R. Baker Chemistry Research Building, Room 114

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System parameter identification has been a significant research topic due to its wide application in fault diagnosis, signal processing, process control and economic fields. In this presentation, the standard least squares (LS) method is first introduced. Secondly, least squares methods for block-oriented systems is introduced, including the over-parametrization based least squares (OP-LS) method, the hierarchical least squares (H-LS) method and the key term separation principle based least squares (KT-LS) method. The mentioned methods are applied to Hammerstein systems, Wiener systems, and Hammerstein-Wiener systems. Finally, the future research proposal is given related to the compressive sensing based identification methods. The main contributions are the proposed framework of the hierarchical least squares based identification method for block-oriented systems by using the hierarchical identification principle, and the presented auxiliary model based key term separation principle based least squares for block-oriented systems.

Dongqing WangDongqing Wang earned B.S. and M.S. degrees from the Department of Electrical Engineering, Shandong University in 1986 and 1988, respectively. She joined the faculty of the College of Automation Engineering, Qingdao University in 1988. During work with Qingdao University, she received her Ph.D. degree from the School of Electrical Engineering and Automation, Tianjin University in 2006. She was a Visiting Scholar in the Department of Electrical and Computer Engineering at the University of Tennessee from August 2004 to February 2005. Since December 2010, she has been a Full Professor in the College of Automation Engineering at Qingdao University.

Her current research interests include process modeling and control, system identification, parameter estimation, robot path planning, and wireless power transfer. She has published more than 50 papers on modeling and identification as the first author. She has won five research awards from the Chinese government and a best paper award from the European Association for Signal Processing as the first author. She also received more than 10 funded projects from the NSF of China government and industrial field as a PI. She is a recipient of special government allowances of the State Council. She was ranked as the 2nd tier professor by the Ministry of Education in P.R China.  

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