Title data
Fleig, Arthur ; Grüne, Lars:
L²-Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation.
In: Vietnam Journal of Mathematics.
Vol. 46
(2018)
.
- pp. 915-948.
ISSN 2305-2228
DOI: https://doi.org/10.1007/s10013-018-0309-8
This is the latest version of this item.
Related URLs
Project information
Project title: |
Project's official title Project's id Model Predictive Control for the Fokker-Planck Equation GR 1569/15-1 |
---|---|
Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract in another language
This paper presents first results for the stability analysis of Model Predictive Control schemes applied to the Fokker-Planck equation for tracking probability density functions. The analysis is carried out for linear dynamics and Gaussian distributions, where the distance to the desired reference is measured in the L²-norm. We present results for general such systems with and without control penalization. Refined results are given for the special case of the Ornstein-Uhlenbeck process. Some of the results establish stability for the shortest possible (discrete time) optimization horizon N=2.
Further data
Available Versions of this Item
-
L²-Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation. (deposited 10 Feb 2018 22:00)
-
L²-Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation. (deposited 13 Feb 2018 08:38)
- L²-Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation. (deposited 15 Oct 2018 06:11) [Currently Displayed]
-
L²-Tracking of Gaussian Distributions via Model Predictive Control for the Fokker-Planck Equation. (deposited 13 Feb 2018 08:38)