test(以下为旧站栏目)

时变延迟及结构不确定类随机系统的弹性鲁棒滑模控制

Professor Sheng-Guo Wang, UNC Charlotte

2013-05-27

演讲人简介:
        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 with research funds more than million dollars.  Currently, he has two active research projects as the PI from NSF and NCDOT.  His research has been supported by the NSF, NCDOT, NASA, ARO, Tellabs, H-P, Agilent, British Council, and China Railways, etc. He is the inventor for 9 patents, including 4 US patents. He is a frequent reviewer for more than 20 international journals and more than 10 international conferences.   He has served as a Program Committee Member (IPC) for more than 10 times, e.g., 2000 ACC; 2000 SPIE; 2005 BISBC; 2006 SICE-ICCAS; 2007 CBGI; 2007, 2008, 2009 and 2011 ISC; 2009 IEEE ISIC; 2010 IEEE CCA; 2007, 2008, 2010, 2011, 2012 and 2013 IEEE ICCAS, an invited session Organizer for 2000 ACC, and more than 10 times Session Chair/co-Chair for international conferences, e.g., IEEE CDC, IEEE WCICA, ACC and IFAC-WC.  He has also served as an NSF Site Review Team Member in 2008 and 2011.
        His current research interests include systems, circuits, control, modeling, robust control, structural control, intelligent control, GPS, communications, computer networks, mathematical and numerical analysis, algorithms, applications, etc.
Prof. Wang is a recipient of many academic awards, including the Best Session Paper Presentation Award of 2001 ACC, an Outstanding Faculty Award at PVAMU 1997, Sigma Xi Research Excellence Award (UH Chapter) 1994, British Council Scholarship 1989, especially, China National Science Conference Prize 1978. 
His membership includes IEEE, ASME, ASEE, Sigma Xi, and Tau Beta Pi.  He has been an Associate Editor of ASME JDSMC (Journal of Dynamic Systems, Measurement and Control) during 2008-2012, and a senior member of IEEE since 1997.


报告内容简介:
        In the real world, systems are in face of changing environment, process variation, disturbance, some time-delay and various uncertainties.  Therefore, how to design an effective robust control for the uncertain systems is a well-known critical and important issue and challenge.
This talk presents a new robust sliding mode control (SMC) method for uncertain stochastic systems with time-varying delay, structural uncertainties and the Brownian noise, i.e., very general uncertain time delay stochastic systems. The proposed method applies singular value decomposition (SVD) to all the structural uncertainties, and introduces adjustable parameters for control design. A less-conservative condition of robust stability and new robust controller for the uncertain stochastic systems are developed via linear matrix inequality (LMI) forms. The reachability of system states to the SMC switching surface is guaranteed in probability of one by the proposed control rule. It is theoretically proved that the proposed method is less conservative than the existing methods in the literature. The simulation examples also demonstrate the correctness of the results.