Adaptive Polynomial Chaos Expansion
Author: Tianjiang Shuo
Website: https://cislunarspace.cn
Definition
An adaptive polynomial chaos expansion surrogate model that uses adaptive coefficient regression methods such as least angle regression to overcome the curse of dimensionality, enabling efficient solution of uncertain multiple-revolution Lambert problems.
Application Value
Adaptive Polynomial Chaos Expansion plays an important role in orbital mechanics and mission planning, applicable for analyzing spacecraft motion characteristics and optimizing transfer trajectories.
Related Concepts
- Libration Point Orbit
- State Transition Matrix
- Six-Degree-of-Freedom
- Gauss Pseudospectral Method
References
Duan 等 - 2025