Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design

no code implementations • 26 Mar 2024 • Jan Heiland, Yongho Kim, Steffen W. R. Werner

Polytopic autoencoders provide low-dimensional parametrizations of states in a polytope.

Context-aware controller inference for stabilizing dynamical systems from scarce data

no code implementations • 22 Jul 2022 • Steffen W. R. Werner, Benjamin Peherstorfer

This work introduces a data-driven control approach for stabilizing high-dimensional dynamical systems from scarce data.

On the sample complexity of stabilizing linear dynamical systems from data

no code implementations • 28 Feb 2022 • Steffen W. R. Werner, Benjamin Peherstorfer

Learning controllers from data for stabilizing dynamical systems typically follows a two step process of first identifying a model and then constructing a controller based on the identified model.