Math Daniël Veldman

Browse all posts in the Math Daniël Veldman category.

3 total

30JUL 2022
Hub
Sheep Herding Game
Author: Daniël Veldman, FAU DCN-AvH Code: A sheep herding game in MATLAB developed for the Long Night of Science #NdW22 (Lange Nacht der Wissenschaft) Erlangen-Furth-Nuernberg 2022. Main rules • The dog should drive sheep to the target (red). • You can steer the dog with the arrow keys. • The sheep are afraid of the […]
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14DEC 2021
Hub
Random Batch Methods for Linear-Quadratic Optimal Control Problems
Daniel Veldman, FAU DCN-AvH Code: || Also available @Daniël’s GitHub In a previous post “Randomized time-splitting in linear-quadratic optimal control“, it was proposed to use the Random Batch Method (RBM) to solve classical Linear-Quadratic (LQ) optimal control problems. This contribution is concerned with the corresponding numerical implementation. We thus consider the classical LQ optimal control […]Daniel Veldman, FAU DCN-AvH Code: || Also available @Daniël’s GitHub In a previous post “Randomized time-splitting in linear-quadratic optimal control“, it was proposed to use the Random Batch Method (RBM) to solve classical Linear-Quadratic (LQ) optimal control problems. This contribution is concerned with the corresponding numerical implementation. We thus consider the classical LQ optimal control […]
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30SEP 2021
Math
Randomized time-splitting in linear-quadratic optimal control
Randomized time-splitting in linear-quadratic optimal control Daniël Veldman, FAU DCN-AvH Introduction Solving an optimal control problem for a large-scale dynamical system can be computationally demanding. This problem appears in numerous applications. One example is Model Predictive Control (MPC), which requires the solution of several optimal control problems on a receding time horizon [5, 7]. […]Randomized time-splitting in linear-quadratic optimal control Daniël Veldman, FAU DCN-AvH Introduction Solving an optimal control problem for a large-scale dynamical system can be computationally demanding. This problem appears in numerous applications. One example is Model Predictive Control (MPC), which requires the solution of several optimal control problems on a receding time horizon [5, 7]. […]
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