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SUMMARY:Controlling Self-Landing Rockets Using CVXPY - Philipp Schiele\, S
 teven Diamond\, Eric Sager Luxenberg
DTSTART;TZID=America/Chicago:20230710T080000
DTEND;TZID=America/Chicago:20230710T120000
DTSTAMP:20261007T034837Z
UID:pretalx-2023-ZCUDYT@cfp.scipy.org
DESCRIPTION:In this tutorial\, attendees will learn hands-on how to optimi
 ze the trajectory of a self-landing rocket in a real-time simulated settin
 g using CVXPY\, a Python-embedded modeling language for convex optimizatio
 n. We integrate the optimization with the Kerbal Space Program\, to showca
 se a complete landing mission without human intervention\, ideally in one 
 piece. CVXPY allows solving complex problems declaratively\, letting conve
 x optimization find an optimal way of meeting target conditions with respe
 ct to an objective function. After solving the initial problem\, attendees
  will use a selection of advanced CVXPY features while making the example 
 gradually more realistic.
LOCATION:Classroom 104
URL:https://cfp.scipy.org/2023/talk/ZCUDYT/
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