Bruce K. Walker

TL;DR: An extended Kalman filter (EKF), implementing the full nonlinear kinematics of the aircraft equations of motion, was used for the estimation of aerodynamic coefficients in aircraft dynamic models from flight-test data.

TL;DR: In this article, a surface data acquisition, storage, and assessment system for detecting and quantifying similarities or differences between stored data and data collected from a scan is presented using a method that decreases the time required for calculating a pose estimate thus increasing its performance making it more practical for applications that require real-time operations.

TL;DR: In this paper, the estimation of aerodynamic coefficients in aircraft dynamic models from flight-test data is addressed by using an extended Kalman filter (EKF), implementing the full nonlinear kinematics of the aircraft equations of motion.

TL;DR: For linear systems where the coefficients of the closed loop system dynamics are functions of two random processes with Markovian transition characteristics, necessary and sufficient conditions for exponential stability In the mean square are developed.