Aug 1, 2023 · In this work, we prove practical asymptotic stability of a (controlled) equilibrium for EDMD-based model predictive control.
Aug 1, 2023 · In this work, we prove practical asymptotic stability of a (controlled) equilibrium for eDMD-based model predictive control, in which the ...
Aug 3, 2023 · The extended Dynamic Mode Decomposition (eDMD) is a very popular method to obtain data-driven surrogate models for nonlinear (control) systems ...
In this work, we prove practical asymptotic stability of a (controlled) equi- librium for EDMD-based model predictive control, in which the optimization step is ...
Missing: DMD. | Show results with:DMD.
Duration: 19:41
Posted: Jan 21, 2024
Posted: Jan 21, 2024
Missing: Practical asymptotic stability extended
Aug 29, 2024 · This paper derives the proposed method, total EDMD with inputs and asymptotic stability constraint, and validates it against EDMD [8], EDMD with ...
Practical asymptotic stability of data-driven model predictive control using extended DMD. arXiv preprint (2023). arXiv:2308.00296. Google Scholar. Breschi et ...
Sep 11, 2024 · This paper presents an approach to reduce the bias in an approximate Koopman model, and simultaneously ensure asymptotic stability, when using ...
Jul 26, 2024 · In this work, we prove practical asymptotic stability of a (controlled) equilibrium for EDMD-based model predictive control, in which the ...
We propose an iterative solver for the underlying data-driven optimal control problems resulting from linear discrete-time systems.