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Linear Quadratic Regulator Computation for a Stefan Problem using M.-M.E.S.S. and FEniCS

Authors: Baran, Björn;

Linear Quadratic Regulator Computation for a Stefan Problem using M.-M.E.S.S. and FEniCS

Abstract

Linear Quadratic Regulator Computation for a Stefan Problem using M.-M.E.S.S. and FEniCS This repository contains the code to reproduce the numerical experiments in the two papers "Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem" (paper_1) (https://arxiv.org/abs/2209.05476) and "Numerical integrators for non-autonomous closed-loop systems with Riccati-feedback" (paper_2) (http://arxiv.org/abs/2402.13656) and in the PhD thesis "Riccati Feedback Stabilization of the Stefan Problem" (thesis). In detail, the feedback gain matrices are computed in Matlab and the simulations in FEniCS. Structure DRE/ contains Matlab testing code for non-autonomous spliting and BDF methods. Stefan_problem_simulation/ contains FEniCS testing code to simulate a 2D 2-phase Stefan problem with different controls and generate the time-dependent matrices for the non-autonomous DREs Usage Read the README files in DRE/ and Stefan_problem_simulation/.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average