Control Seminar

Dynamics and control of connected vehicles

Gabor Orosz

Assistant Professor
University of Michigan, Department of Mechanical Engineering
Friday, April 05, 2013
3:30pm - 4:30pm
1500 EECS

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About the Event

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.

Additional Information

Contact: Ann Pace

Phone: 763-5022


Sponsor(s): Bosch, Eaton, Ford, GM, Toyota, Whirlpool and the MathWorks

Open to: Public