“Communication Delays in Networked Robotic Systems”
Dr. Tamás Kalmár-Nagy, Texas A&M
The new millennium has seen unprecedented growth in communication, networking and robotics. Complex systems of interacting nonlinear components have had an impact on a broad range of applications, including space exploration, mobile sensor networks, tele-operated surgical robots, control of teams of vehicles and integrated building systems. Interactions of communicating dynamic components are susceptible to network and/or physical delays. Stability and performance metrics of systems with random time delays are related to infinite random matrix products and the corresponding Lyapunov exponents (the measure of stability). This talk provides a glimpse into the techniques and tools of dynamical systems theory, discrete mathematics and statistical physics that can be combined to calculate Lyapunov exponents for random systems.
Tamás Kalmár-Nagy received his PhD in theoretical and applied mechanics from Cornell University in 2002. From 2002 to 2005 he was a Research Engineer at the United Technologies Research Center, and he is now an assistant professor of aerospace engineering at Texas A&M. His research interests include delay-differential equations, perturbation methods, nonlinear vibrations, dynamics and control of uncertain and stochastic systems.