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math.OC2024
A Gauss-Newton Method for ODE Optimal Tracking Control
Vicky Holfeld, Michael Burger, Claudia Schillings
This paper introduces and analyses a continuous optimization approach to solve optimal control problems involving ordinary differential equations (ODEs) and tracking type objective…
math.OC2021
One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty
Philipp A. Guth, Claudia Schillings, Simon Weissmann
We propose a general framework for machine learning based optimization under uncertainty. Our approach replaces the complex forward model by a surrogate, which is learned simultane…