3 papers
math.OC2025
Polynomial Optimization via Random Projection and Consensus
Etienne Buehrle, Christoph Stiller
We propose a black-box approach to reducing large semidefinite programs to a set of smaller semidefinite programs by projecting to random linear subspaces. We evaluate our method o…
cs.LG2025
Stochastic Optimal Control via Measure Relaxations
Etienne Buehrle, Christoph Stiller
The optimal control problem of stochastic systems is commonly solved via robust or scenario-based optimization methods, which are both challenging to scale to long optimization hor…
math.OC2025
Optimal Control of Hybrid Systems via Measure Relaxations
Etienne Buehrle, Ãmer Åahin TaÅ, Christoph Stiller
We propose an approach to trajectory optimization for piecewise polynomial systems based on the recently proposed graphs of convex sets framework. We instantiate the framework with…