Optimization via game theoretic control

Using game theoretic control to solve optimization problem is a recently developed promising method. The key technique is to convert a networked system into a potential game, with a pre-assigned criterion as the potential function. An algorithm is designed for updating strategies to reach a Nash equ...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Daizhan, Liu, Zequn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Special Topic: Games in Control Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289022/
https://www.ncbi.nlm.nih.gov/pubmed/34692133
http://dx.doi.org/10.1093/nsr/nwaa019
_version_ 1783724211100975104
author Cheng, Daizhan
Liu, Zequn
author_facet Cheng, Daizhan
Liu, Zequn
author_sort Cheng, Daizhan
collection PubMed
description Using game theoretic control to solve optimization problem is a recently developed promising method. The key technique is to convert a networked system into a potential game, with a pre-assigned criterion as the potential function. An algorithm is designed for updating strategies to reach a Nash equilibrium (i.e. optimal solution).
format Online
Article
Text
id pubmed-8289022
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-82890222021-10-21 Optimization via game theoretic control Cheng, Daizhan Liu, Zequn Natl Sci Rev Special Topic: Games in Control Systems Using game theoretic control to solve optimization problem is a recently developed promising method. The key technique is to convert a networked system into a potential game, with a pre-assigned criterion as the potential function. An algorithm is designed for updating strategies to reach a Nash equilibrium (i.e. optimal solution). Oxford University Press 2020-07 2020-03-19 /pmc/articles/PMC8289022/ /pubmed/34692133 http://dx.doi.org/10.1093/nsr/nwaa019 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Topic: Games in Control Systems
Cheng, Daizhan
Liu, Zequn
Optimization via game theoretic control
title Optimization via game theoretic control
title_full Optimization via game theoretic control
title_fullStr Optimization via game theoretic control
title_full_unstemmed Optimization via game theoretic control
title_short Optimization via game theoretic control
title_sort optimization via game theoretic control
topic Special Topic: Games in Control Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289022/
https://www.ncbi.nlm.nih.gov/pubmed/34692133
http://dx.doi.org/10.1093/nsr/nwaa019
work_keys_str_mv AT chengdaizhan optimizationviagametheoreticcontrol
AT liuzequn optimizationviagametheoreticcontrol

Ejemplares similares