Yan Chen of Arizona State University

More than 400 deaths and over 78,000 crashes were caused by tire blowout annually, which cause huge life and property losses.  Automated driving technologies, including but not limited to various advanced driver assistance systems (ADAS), have undergone significant development recently.  Can one of these technologies also help to address tire blowout control better than human drivers?   This talk will first introduce an enhanced tire blowout model that can describe tire and vehicle responses more accurately after tire blowout.  Then, shared control and automatic control based on different automated driving levels will be discussed.  The developed models and control algorithms will be validated and discussed through both simulation and experimental tests.  The talk will end with some future work and potential extended research directions.

Biography:

Dr. Yan Chen received the B.S. and M.S. degrees (with honors) in control science and engineering from the Harbin Institute of Technology, Harbin, China in 2004 and 2006, respectively. He received his second M.S. degree in mechanical engineering from Rice University, Houston in 2009, and his Ph.D. degree in mechanical engineering from the Ohio State University, Columbus in 2013. Dr. Chen is an Assistant Professor at Arizona State University.  His research interests include design, modeling, estimation, control, and optimization of dynamic systems, specifically for connected and automated vehicle, electric vehicle, unmanned aerial vehicle, multi-agent, energy, and mechatronic systems.  Dr. Chen’s research projects have been funded by federal agencies and industrial companies, such as National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), Arizona Commerce Authority (ACA), General Motors (GM), Intel, MathWorks, SRP, TuSimple, and others. He is the author or co-author of more than 90 peer-reviewed publications. Dr. Chen serves as an Associate Editor for IEEE Transactions on Vehicular Technology, IFAC Mechatronics, IFAC Control Engineering Practice, and IEEE CSS Conference Editorial Board. He currently serves as the NOC chair of IFAC Symposium on Intelligent Autonomous Vehicles. He was the recipient of 2020 SAE Ralph R. Teetor Educational Award and 2019 DSCC Automotive and Transportation Systems Best Paper Award.

Address:Arizona State University, , United States