- Full text PDF available (4)
—We study the nonlinear observability of a system's states in view of how well they are observable and what control inputs would improve the convergence of their estimates. We use these insights to develop an observability-aware trajectory-optimization framework for nonlinear systems that produces trajectories well suited for self-calibration. Common… (More)
— We outline a system architecture for a large swarm of miniature quadcopters. We discuss onboard planning, control, state estimation, communications, and a method for motion-capture localization using identical marker arrangements. We validate the system with a 49-vehicle formation flight.
— We describe a method for formation-change tra-jectory planning for large quadcopter teams in obstacle-rich environments. Our method decomposes the planning problem into two stages: a discrete planner operating on a graph representation of the workspace, and a continuous refinement that converts the non-smooth graph plan into a set of C k-continuous… (More)
We explore a set of polarimetric radar data and rain gauge readings collected in the Midwestern US over several months, while aiming to improve existing rainfall prediction techniques with various supervised learning algorithms. 1 We explore preprocessing techniques and evaluate Linear Regression and Feedforward Neural Networks models of summarized data… (More)
To fully realize the system potential of wireless local area networks (WLAN), polarization diverse antennas must be employed to minimize fading and optimize performance in dynamic, complex electromagnetic environments. An antenna solution that is integral to a WLAN PCMCIA card has been developed, demonstrated and the results presented here.