Code to test the implementation of nonlinear Bi-level Parent-Child MPC

DOI:10.4121/c9ef0e3e-0ace-4cb8-bd58-451c7ff2f4bd.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/c9ef0e3e-0ace-4cb8-bd58-451c7ff2f4bd

Datacite citation style

Surma, Filip (2025): Code to test the implementation of nonlinear Bi-level Parent-Child MPC. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/c9ef0e3e-0ace-4cb8-bd58-451c7ff2f4bd.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Implementation, simulation, and testing the performance of Bi-level Parent-Child MPC while controlling a nonlinear system. More details can be found in the referenced paper, which will be added after publication.

History

  • 2025-06-18 first online, published, posted

Publisher

4TU.ResearchData

Format

m files

Funding

  • This research has been supported jointly by the TU Delft AI Labs program - as a part of the AI*MAN lab research - and by the NWO Talent Program Veni project "Autonomous drones flocking for search-and-rescue" (18120), which has been financed by the Netherlands Organisation for Scientific Research (NWO).

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Control & Simulation

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/1eea98c1-85c4-480d-bc6d-a9e00a94e59a.git

Or download the latest commit as a ZIP.