Skip to content
Snippets Groups Projects
Select Git revision
2 results Searching

distributed_mac

Name Last commit Last update
GenerateRandomTreeGraph.m
README.md
adj2inc.m
statesControlsDiff.tex
README.md

Distributed Minimax Adaptive Control

Description

This code explains the implementation of distributed minimax adaptive control algorithm designed for controlling uncertain networks.

Associated Paper

V. Renganathan, Anders Rantzer and Olle Kjellqvist, Distributed Minimax Adaptive Control for Uncertain Networks, Submitted to European Control Conference 2024.

Dependencies

Please download and include the source files of package that converts MATLAB to tikz into the path. The package can be found in https://www.mathworks.com/matlabcentral/fileexchange/22022-matlab2tikz-matlab2tikz

Steps to run the simulation

The main file to be run in MATLAB is the DistributedMinimaxAdaptiveControl.m file. Please follow the following steps in running the file.

  • Set the dataPrepFlag to 1 if new network data has to be generated. Set it to 0, if you want to preload the already generated network dynamics data.
  • Set the number of models to be prepared using the variable numModels
  • Set the index of the true dynamics model using the variable modelNum
  • Set the disturbFlag. Choose 0: none, 1: white noise, 2: sinusoid, 3: constant step

License

MIT License:

@author: Venkatraman Renganathan Department of Automatic Control - LTH,
Lund University, Sweden

Copyright (c) 2023, Venkatraman Renganathan, Anders Rantzer and Olle Kjellqvist Email: venkatraman.renganathan@control.lth.se, anders.rantzer@control.lth.se, olle.kjellqvist@control.lth.se

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify,
merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.