A primer on Pseudospectral Convex Optimization with Applications in Entry, Descent, and Landing

マルコ　サリアーノ 氏（Dr. Marco Sagliano）
ドイツ航空宇宙センター（German Aerospace Center (DLR)）

In recent years convex optimization has become a prominent technology in space applications, with a special emphasis on Entry, Descent, and Landing scenarios. In this talk we will follow the genesis and the maturation of pseudospectral convex optimization methods for EDL, from the basic 3DoF formulation of rocket landing to the more advanced and realistic applications, including NASA's high-mass entry demonstrator for Mars landing, and the formulation for the CALLISTO demonstrator, a reusable rocket currently developed by DLR, JAXA and CNES together.

Conference Hall (2nd floor/ Research and Administration Building A),　Via Zoom