Tongwen Chen is currently a Professor and Tier 1 Canada Research Chair in Intelligent Monitoring and Control with the Department of Electrical and Computer Engineering at the University of Alberta. He received the BEng degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. He is a Fellow of IEEE, IFAC, as well as the Canadian Academy of Engineering.
Dynamic systems are central in many physical, engineering, biomedical, and economic processes. Dr. Chen’s research work lies in Control Systems; specifically, he is interested in understanding controlled behavior of complex dynamic systems, which typically involve computers and networks for information exchange. His research has resulted in development of analysis and synthesis methodologies in the following areas:
His research work has generated some impact in the fields of control systems and signal processing; moreover, some of his research results have been applied and implemented in the Canadian industry.
Supported by NSERC and a number of industrial partners, Dr. Chen’s research is currently focused on the following areas:
By creating new knowledge, developing new tools, and transferring them to industry, Dr. Chen aims at fostering innovation in the research work and providing a unique training program for graduate students and research personnel in the areas of Monitoring and Control of Complex Dynamic Systems.
Linear system models. Time response and stability. Block diagrams and signal flow graphs. Feedback control system characteristics. Dynamic compensation. Root locus analysis and design. Frequency response analysis and design. Prerequisites: ECE 203 or E E 250, and ECE 240 or E E 238. Credit may be obtained in only one of ECE 360, ECE 362, E E 357, E E 462 or E E 469.Winter Term 2021
MIMO control systems. Standard setup. Mathematical preliminaries (singular value decomposition, norms, and function spaces), Stability and performance analysis of MIMO control systems. Stabilization. Controller parameterization. Uncertain systems and uncertainty representations. Stability and performance analysis of uncertain control systems. Linear matrix inequalities (LMIs) and convex optimization. Modern control design: H-2 and H-infinity optimization via LMIs.Winter Term 2021