IN THE framework of spacecraft relative motion, current dynamics models are diverse and
often subject to a multitude of constraints and limitations on the intersatellite range of …

This paper presents a review of previous work within the field of spacecraft formation flying,
including modeling approaches and controller design. In addition, five new approaches for …

This work develops a deep reinforcement learning based approach for Six Degree-of-
Freedom (DOF) planetary powered descent and landing. Future Mars missions will require …

Distributed finite-time attitude containment control for multiple rigid bodies is addressed in
this paper. When there exist multiple stationary leaders, we propose a model-independent …

Most newcomers to the field of linear stochastic estimation go through a difficult process in
understanding and applying the theory. This book minimizes the process while introducing …

Space agencies are now realizing that much of what has previously been achieved using
hugely complex and costly single platform projects—large unmanned and manned satellites …

Statistical Orbit Determination presents fundmentals of orbit determination--from weighted
least squares approaches (Gauss) to today's high-speed computer algorithms that provide …

ATTITUDE estimation involves a two-part process: 1) estimation of a vehicle's orientation
from body measurements and known reference observations, such as line-of-sight …

A finite-time attitude tracking control scheme is proposed for spacecraft using terminal
sliding mode and Chebyshev neural network (NN)(CNN). The four-parameter …

THE field of trajectory optimization has a rich history dating back to 1950s. Traditionally,
these problems are solved by direct and indirect methods with their advantages and …