StanfordASL / stochasticSCP

Sequential Convex Programming For Non-Linear Stochastic Optimal Control

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Sequential Convex Programming For Non-Linear Stochastic Optimal Control

Description

Implementation of the experiments presented in https://arxiv.org/abs/2009.05182.


Example of trajectory for an uncertain 5D Dubins car model navigating in a cluttered environment.

Setup

This code was tested with Julia 1.4.1. Experiments can be reproduced by running the jupyter notebook in the root folder:

  jupyter notebook

Reference

R. Bonalli, T. Lew, and M. Pavone, "Sequential Convex Programming For Non-Linear Stochastic Optimal Control,", ESAIM: Control, Optimisation & Calculus of Variations, vol. 28, no. 64, 2022.

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Sequential Convex Programming For Non-Linear Stochastic Optimal Control

License:MIT License


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Language:Julia 82.7%Language:Jupyter Notebook 17.3%