Dynamics and control of connected vehicles

Arising technologies related to vehicle-to-vehicle (V2V)
communication can significantly improve the safety and efficiency of
connected vehicle systems. This allows cars to obtain detailed information
about the motion of distant vehicles and such information can be presented to
the driver or incorporated in advanced vehicle control systems. However, when
designing such controllers and the corresponding network structure, one faces
many fundamental challenges: (i) the system must be robust against loss of
connections and it must function for heterogeneous traffic that include
conventional vehicles; (ii) high level of modularity is required which allow
the formation and disband of ad-hoc convoys; (iii) the controllers need to be
able to tolerate the delays arising in the communication channels. In this
talk I discuss some novel decomposition techniques and design principles that
allow us to target these challenges systematically. Our results lead to
better understanding of longitudinal dynamics of multi-vehicle systems and
allow the design of their dynamics by exploiting the connected vehicle
environment.
Gabor Orosz received his MSc degree in Engineering Physics from the
Budapest University of Technology (Hungary) in 2002, and his PhD degree in
Engineering Mathematics from the University of Bristol (UK) in 2006. He held
postdoctoral positions at the University of Exeter (UK) and at the University
of California, Santa Barbara before he joined the Department of Mechanical
Engineering at the University of Michigan in 2010 as an assistant professor.
His research interests are in nonlinear dynamics and control of complex networks
and time-delay systems. Specifically, he is interested in applications like connected vehicles and biological networks.