Speaker: Shengguo Wang
Venue: Building No.3
Time: 10:00 am, June 12, 2014
This talk will present a new approach to reduce the data transmitted in networked control systems (NCSs) via model reduction method. Based on the controllability and observability of the remote controlled plant, the "unimportant" information of system states vector is truncated by balanced truncation method (BTM) before sending to the controller via network. The exponential stability condition of the truncated NCSs is derived via linear matrix inequality (LMI) forms. This method of data truncation can usually reduce the time delay and further improve the performance of the NCSs. Furthermore, the optimization of NCSs is discussedby utilizing this fact. The simulation validates the correctness of the results.
The partial major contributions of our paper include that (1) up to our best knowledge, we are the first to introduce the model reduction into NCS to reduce data transmission; and (2) the exponential stability condition is given based on the NCS with reduced data via BTM.
About the speaker:
Prof. Sheng-Guo Wang received the B.S. and M.S. in EE from University of Science and Technology of China in 1967 and 1981, respectively, and the Ph.D. in ECE from University of Houston in 1994.
He is a tenured Full Professor at University of North Carolina at Charlotte. He has published more than 100 papers in journals and conferences, and been the PI for numerous research projects since 1974. His research work has been supported by NSF, NCDOT, Tellabs, HP, Agilent, NASA, ARO, British Council, and China Railway.
He is a frequent reviewer for more than 30 international journals and more than 10 international conferences.He has served as a Program Committee Member (IPC) for about 20 times, and more than 10 times as Session Chair/co-Chair for international conferences. He has also served as an Associate Editor for JDSMC, JCTA, and IEEE MSC, etc.
His current research interests include systems, circuits, control, modeling, robust control, network, mathematical and numerical analysis, algorithms, applications, etc.
Prof. Wang is a recipient of China National Science Conference Prize 1978 (one of the highest academic awards in China) and many other academic awards, including the Best Session Paper Presentation Award of 2001 ACC, the inventor award for UNC Charlotte Invention 2001, an Outstanding Faculty Award at PVAMU 1997, Sigma Xi Research Excellence Award (UH Chapter) 1994, British Council Scholarship 1989. His membership includes IEEE, ASME, ASEE, Sigma Xi, and Tau Beta Pi. He has been a senior member of IEEE since 1997.