Nonlinear Mapping of Gaussian Statistics: Theory and Applications to Spacecraft Trajectory Design
By R. Park, Daniel J. Scheeres. 2006
311 citations recorded by the source corpus.
Subfields: Astronomy and Astrophysics, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4c3e807b1b42567c7b4d714a2c5d23e549c399a9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
- Franco Bernelli-Zazzera
- Martin Berz
- Roberto Armellin
- Brandon A. Jones
- Pierluigi Di Lizia
- Alireza Doostan
- George H. Born
In Statistical and Nonlinear Physics
- Brandon A. Jones
- George H. Born
- Alireza Doostan
- Franco Bernelli-Zazzera
- Martin Berz
- Roberto Armellin
- Pierluigi Di Lizia
- Aubrey B. Poore
In Statistics and Probability
- Alireza Doostan
- Brandon A. Jones
- George H. Born
- Franco Bernelli-Zazzera
- Martin Berz
- Roberto Armellin
- Pierluigi Di Lizia
- Anthony Nouy
Citations in the corpus
- Asteroid close encounters characterization using differential algebra: the case of Apophis (2010, methodology): “An alternate way to analyze trajectory statistics by incorporating higher-order Taylor series terms that describe localized nonlinear motion is proposed by Park and Scheeres (2006).”
- Gaussian Sum Filters for Space Surveillance: Theory and Simulations (2011, background): “For deterministic dynamics, it follows that the exact PDF at any future time t > t0 is given by [21]”
- Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos (2013, methodology): “Examples of research attempting to nonlinearly propagate the state uncertainty include Monte Carlo methods [3,4], Gaussian mixtures [5–7], and state transition tensors (STT) [8–10].”