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2023-code-ifac-performance-analysis-for-time-varying-mas-with-packet-loss

Code for the paper "Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss" by C. Hespe and H. Werner

https://github.com/tuhh-ics/2023-code-ifac-performance-analysis-for-time-varying-mas-with-packet-loss

Science Score: 67.0%

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    CITATION.cff file
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    Found .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (12.9%) to scientific vocabulary

Keywords

consensus monte-carlo multi-agent-systems packet-loss
Last synced: 6 months ago · JSON representation ·

Repository

Code for the paper "Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss" by C. Hespe and H. Werner

Basic Info
  • Host: GitHub
  • Owner: TUHH-ICS
  • License: gpl-3.0
  • Language: MATLAB
  • Default Branch: master
  • Homepage: https://www.tuhh.de/ics
  • Size: 54.7 KB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
consensus monte-carlo multi-agent-systems packet-loss
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss

DOI

General

This repository contains an implementation of the algorithms described in the paper

C. Hespe, H. Werner, "Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss," IFAC World Congress. 2023.

It may be used to recreate and validate the figures from the paper. To do so, run either of the two main entry points in the repository, the scripts eigenvalue_contour.m and varying_graphs.m. Be advised that the latter of these scripts has a runtime of at least one day. The raw data used in the figures in the paper is available in the subdirectory figures.

Simulation of Multi-Agent Systems

Both of the main entry points will run simulations of multi-agent systems with packet loss. For that purpose, an open source library which can be found on Github is utilized. The repository is included as a git submodule and needs to be initialized using git submodule update --init.

Prerequisites

To run the scripts in this repository, you will need a working copy of Yalmip together with a suitable SDP solver in your Matlab path.

The code in this repository was tested in the following environment:

  • Windows 10 Version 21H2
  • Matlab 2021b
  • Yalmip 31-March-2021

The Matlab parfor feature from the Parallel Computing Toolbox is used to speed up the calculations. Matlab should automatically detect if that toolbox is not available and run the iterations sequentially in that case. However, this will drastically prolong the runtime of the scripts! You may want to reduce the number of sampling points for the figures or run the calculations for smaller networks.

Owner

  • Name: Institute of Control Systems - TUHH
  • Login: TUHH-ICS
  • Kind: organization
  • Email: ics@tuhh.de
  • Location: Hamburg, Germany

Citation (CITATION.cff) 

cff-version: 1.2.0
title: Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss
message: If you use this software, please cite it using the metadata from this file.
type: software
authors:
  - given-names: Christian
    family-names: Hespe
    orcid: 'https://orcid.org/0000-0001-5772-9044'
    affiliation: Hamburg University of Technology, Institute of Control Systems
  - given-names: Herbert
    family-names: Werner
    affiliation: Hamburg University of Technology, Institute of Control Systems
    orcid: 'https://orcid.org/0000-0003-3456-5539'
identifiers:
  - type: doi
    value: 10.5281/zenodo.7313975
    description: DOI of the Zenodo archive
repository-code: https://github.com/TUHH-ICS/2023-code-IFAC-Performance-Analysis-for-Time-Varying-MAS-with-Packet-Loss
repository: https://arxiv.org/abs/2304.02393
keywords:
  - multiagent systems
  - monte-carlo
  - packet loss
license: GPL-3.0

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