The doi 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: 10.4121/8050f9cb-d0b0-4149-bd24-02f13c2410db

Maxwell, Craig; Jamshidnejad, Anahita; Baglioni, Mirko (2024): Code for Model-Predictive Fuzzy Controller for Search-and-Rescue Path-planning of Multi-agent Systems. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/8050f9cb-d0b0-4149-bd24-02f13c2410db.v1

Software

• Aerospace Engineering
• Engineering

autonomous flight, Autonomous Path-Planning, drone, Fuzzy Inference System, Model Predictive Fuzzy Control, MPC, MPFC, Multi-Agent Systems, unmanned aerial vehicle

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Craig Maxwell , Anahita Jamshidnejad , Mirko Baglioni

This script simulates various configurations of UAVs in search and rescue (SAR) operations using different control architectures, environment models, and agent behaviors. The aim is to evaluate their performance across a range of scenarios by analyzing the objective function, optimization times, and other metrics. This guide explains each section of the script and how to customize it for specific simulation setups.

• 2024-12-10 first online, published, posted

4TU.ResearchData

.m, .mat, .svg, .fig

https://github.com/craigmax-dev/Integrated-Model-Predictive-Fuzzy-Control-for-Disaster-Victim-Detection-Path-Planning-in-MATLAB

TU Delft, Faculty of Aerospace Engineering, Control and Simulation