On Koopman-based surrogate models for non-holonomic robots. - Lea Bold; Hannes Eschmann; Mario Rosenfelder; Henrik Ebel; Karl Worthmann (CoRR, 2023)

Practical asymptotic stability of data-driven model predictive control using extended DMD. - Lea Bold; Lars Grüne; Manuel Schaller; Karl Worthmann (CoRR, 2023)

Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry. - Mario Rosenfelder; Lea Bold; Hannes Eschmann; Peter Eberhard; Karl Worthmann; Henrik Ebel (CoRR, 2024)

Kernel-based Koopman approximants for control: Flexible sampling, error analysis, and stability. - Lea Bold; Friedrich M. Philipp; Manuel Schaller; Karl Worthmann (CoRR, 2024)

Data-Driven MPC With Stability Guarantees Using Extended Dynamic Mode Decomposition. - Lea Bold; Lars Grüne; Manuel Schaller; Karl Worthmann (IEEE Trans. Autom. Control., 2025)

Offset-free Nonlinear MPC with Koopman-based Surrogate Models. - Irene Schimperna; Lea Bold; Karl Worthmann (CoRR, 2025)

Two-component controller design to safeguard data-driven predictive control: A tutorial exemplified with DeePC and Koopman MPC. - Lea Bold; Lukas Lanza; Karl Worthmann (Autom., 2025)