MatLab toolbox for linear-quadratic mean-field-type games: Version i

Julian Barreiro-Gomez, Hamidou Tembine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a MatLab-based toolbox to simulate Linear-Quadratic Mean-Field-Type Games (MFTGs) is presented. The toolbox consists of a first version that considers three different approaches for the one-dimensional case, i.e., Non-Cooperative, Fully-Cooperative and Co-opetitive MFTG scenarios are presented. In order to illustrate the use of the aforementioned tools, several examples are shown and the files corresponding to the developed functions are provided.

Original languageEnglish (US)
Title of host publication4th IEEE Colombian Conference on Automatic Control
Subtitle of host publicationAutomatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
EditorsJose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669624
DOIs
StatePublished - Oct 2019
Event4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia
Duration: Oct 15 2019Oct 18 2019

Publication series

Name4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

Conference

Conference4th IEEE Colombian Conference on Automatic Control, CCAC 2019
CountryColombia
CityMedellin
Period10/15/1910/18/19

Keywords

  • MatLab toolbox
  • Mean-field-type games
  • Simulations

ASJC Scopus subject areas

  • Modeling and Simulation
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Fingerprint Dive into the research topics of 'MatLab toolbox for linear-quadratic mean-field-type games: Version i'. Together they form a unique fingerprint.

Cite this