A dielectric barrier discharge, operating at kHz and kV conditions, can generate largely
isothermal surface plasma and induce wall-jet-like fluid flow. It can serve as an aerodynamic …

In this article, we study the well known problem of wind estimation in atmospheric turbulence
using small unmanned aerial systems (sUAS). We present a machine learning approach to …

In trajectory planning and control design for unmanned air vehicles, highly simplified models
are typically used to represent the vehicle dynamics and the operating environment. The …

Glow discharge at atmospheric pressure using a dielectric barrier discharge can induce fluid
flow, and can be used for active control of aerodynamics and heat transfer. In the present …

The three-dimensional turbulence structure of the canonical daytime atmospheric boundary
layer (ABL) reflects the balance between shear and buoyancy turbulence production …

Glow discharge at atmospheric pressure using a dielectric barrier discharge can induce fluid
flow and operate as an actuator for flow control. 1–6 The largely isothermal surface plasma …

Sparse linear estimation of fluid flows using data-driven proper orthogonal decomposition
(POD) basis is systematically explored in this work. Fluid flows are manifestations of …

In this paper, we examine the viability of using long short-term memory neural networks as a
tool to estimate wind velocity from quadcopter trajectory information, such as position and …

Realistic atmospheric turbulence–wind farm interactions during coastal low-level jet (LLJ)
events are captured using high-fidelity, mesoscale-driven large eddy simulations (LES) to …

The reconstruction of fine-scale information from sparse data measured at irregular locations
is often needed in many diverse applications, including numerous instances of practical fluid …