Optimized Routing of Intelligent, Mobile Sensors for Dynamic, Data-Driven Sampling

The long-term goal of this three-year, $600K project is to provide a control-theoretic framework to enable intelligent, mobile systems to optimally collect sensor-based observations that yield accurate estimates of unknown processes pertaining to Air Force research, including human/vehicle surveillance and airborne contaminant release. Paley will apply tools from aerospace engineering, specifically nonlinear estimation and control, to design coordinated sampling trajectories that yield the most informative measurements of estimated dynamical and stochastic systems.