Nonlinear Model Predictive Control with Latent Force Models. - Daniel Landgraf; Andreas Völz; Knut Graichen (ACC, 2022)

Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control. - Daniel Landgraf; Andreas Völz; Felix Berkel; Kevin Schmidt; Thomas Specker; Knut Graichen (Annu. Rev. Control., 2023)

A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S). - Daniel Landgraf; Andreas Völz; Knut Graichen (CoRR, 2024)

Distributed Stochastic Optimal Control of Nonlinear Systems Based on ADMM. - Maximilian Pierer von Esch; Daniel Landgraf; Matthias Steffel; Andreas Völz; Knut Graichen (IEEE Control. Syst. Lett., 2024)

Application of stochastic model predictive control for building energy systems using latent force models. - Thore Wietzke; Daniel Landgraf; Knut Graichen (Autom., 2025)