Orbital uncertainty propagation plays an important role in space situational awareness
related missions such as tracking and data association, conjunction assessment, sensor …

This paper provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

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 …

Uncertainty propagation of dynamical systems is a common need across many domains and
disciplines. In nonlinear settings, the extended Kalman filter is the de facto standard …

A nonlinear filter is developed by representing the state probability density function by a
finite sum of Gaussian density kernels whose mean and covariance are propagated from …

SPACE situational awareness (SSA) encompasses intelligence, reconnaissance of all
space objects, and the prediction of space events, possible collisions, threats, and activities …

Reinforced concrete is subjected to deterioration due to aging, increased load, and natural
hazards. To minimize the maintenance costs and to increase the operation lifetime …

Classically, space situational awareness (SSA) and space traffic management (STM) focus
on the near-Earth region, which is highly populated by satellites and space debris objects …

Polynomial chaos expansion and Gaussian mixture models are combined in a hybrid
fashion to propagate state uncertainty for spacecraft with initial Gaussian errors. Polynomial …

Dynamical environments around small celestial bodies are complex and uncertain, leading
to highly perturbed, uncertain orbital motions in their proximity. Under such complexity and …