Uncertainty Quantification for Mars Entry

In this chapter, the propagation of high-dimensional uncertainty in Mars atmospheric entry dynamics is investigated. Based on spectral decomposition and random space decomposition, generalized polynomial chaos is modified to efficiently address the uncertainty quantification task. Comparison simulations demonstrate its effectiveness in quantifying the high-dimensional uncertainty propagated along Mars atmospheric entry trajectories, exhibiting a higher level of accuracy than generalized polynomial chaos as well as better computational efficiency than Monte-Carlo simulations.