Distributed time-varying optimal resource allocation: A collective neurodynamic approach

A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain g...

Full description

Saved in:
Bibliographic Details
Published in:Physica scripta 2025-02
Main Authors: Cai, Xin, Chen, Xingzhi, Sun, Ming, Gao, Bingpeng
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title Physica scripta
container_volume
creator Cai, Xin
Chen, Xingzhi
Sun, Ming
Gao, Bingpeng
description A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain global information, a novel neurodynamic approach with a two-time scale structure is proposed to track asymptotically the time-varying optimal resource allocation of the given problem in a distributed manner. It is analyzed that the presented neurodynamic model, which is regarded as a singular perturbation system, converges to the time-varying optimal resource allocation by the singular perturbation theory. At last, the obtained results are verified by two numerical examples, from which the designed method has better convergence accuracy than the existing work.
doi_str_mv 10.1088/1402-4896/adb652
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1402_4896_adb652</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1088_1402_4896_adb652</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_1088_1402_4896_adb6523</originalsourceid><addsrcrecordid>eNqdj8FuwjAQRK2qSKTAnaN_IGUdQpT0VrVUfAAHbtbGWcDIxNHaQcrfl4iqH8BpNCPN6I0QSwXvCspypXLI0rysihU2dbHJXkTyH72KBGCt0rLKq6l4C-ECkBVZUSXi8G1DZFv3kRoZ7ZXSG_Jg25P03d2ik0zB92xIonPeYLS-_ZCf0njnyER7I9lSz74ZWrxaI7Hr2KM5z8XkiC7Q4k9nAn62-69datiHwHTUHd_3edAK9PhAj7h6xNWPB-snKr8IBlDt</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Distributed time-varying optimal resource allocation: A collective neurodynamic approach</title><source>Institute of Physics:Jisc Collections:IOP Publishing Read and Publish 2024-2025 (Reading List)</source><creator>Cai, Xin ; Chen, Xingzhi ; Sun, Ming ; Gao, Bingpeng</creator><creatorcontrib>Cai, Xin ; Chen, Xingzhi ; Sun, Ming ; Gao, Bingpeng</creatorcontrib><description>A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain global information, a novel neurodynamic approach with a two-time scale structure is proposed to track asymptotically the time-varying optimal resource allocation of the given problem in a distributed manner. It is analyzed that the presented neurodynamic model, which is regarded as a singular perturbation system, converges to the time-varying optimal resource allocation by the singular perturbation theory. At last, the obtained results are verified by two numerical examples, from which the designed method has better convergence accuracy than the existing work.</description><identifier>ISSN: 0031-8949</identifier><identifier>EISSN: 1402-4896</identifier><identifier>DOI: 10.1088/1402-4896/adb652</identifier><language>eng</language><ispartof>Physica scripta, 2025-02</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-5899-574X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27900,27901</link.rule.ids></links><search><creatorcontrib>Cai, Xin</creatorcontrib><creatorcontrib>Chen, Xingzhi</creatorcontrib><creatorcontrib>Sun, Ming</creatorcontrib><creatorcontrib>Gao, Bingpeng</creatorcontrib><title>Distributed time-varying optimal resource allocation: A collective neurodynamic approach</title><title>Physica scripta</title><description>A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain global information, a novel neurodynamic approach with a two-time scale structure is proposed to track asymptotically the time-varying optimal resource allocation of the given problem in a distributed manner. It is analyzed that the presented neurodynamic model, which is regarded as a singular perturbation system, converges to the time-varying optimal resource allocation by the singular perturbation theory. At last, the obtained results are verified by two numerical examples, from which the designed method has better convergence accuracy than the existing work.</description><issn>0031-8949</issn><issn>1402-4896</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNqdj8FuwjAQRK2qSKTAnaN_IGUdQpT0VrVUfAAHbtbGWcDIxNHaQcrfl4iqH8BpNCPN6I0QSwXvCspypXLI0rysihU2dbHJXkTyH72KBGCt0rLKq6l4C-ECkBVZUSXi8G1DZFv3kRoZ7ZXSG_Jg25P03d2ik0zB92xIonPeYLS-_ZCf0njnyER7I9lSz74ZWrxaI7Hr2KM5z8XkiC7Q4k9nAn62-69datiHwHTUHd_3edAK9PhAj7h6xNWPB-snKr8IBlDt</recordid><startdate>20250214</startdate><enddate>20250214</enddate><creator>Cai, Xin</creator><creator>Chen, Xingzhi</creator><creator>Sun, Ming</creator><creator>Gao, Bingpeng</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-5899-574X</orcidid></search><sort><creationdate>20250214</creationdate><title>Distributed time-varying optimal resource allocation: A collective neurodynamic approach</title><author>Cai, Xin ; Chen, Xingzhi ; Sun, Ming ; Gao, Bingpeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_1088_1402_4896_adb6523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Xin</creatorcontrib><creatorcontrib>Chen, Xingzhi</creatorcontrib><creatorcontrib>Sun, Ming</creatorcontrib><creatorcontrib>Gao, Bingpeng</creatorcontrib><collection>CrossRef</collection><jtitle>Physica scripta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Xin</au><au>Chen, Xingzhi</au><au>Sun, Ming</au><au>Gao, Bingpeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed time-varying optimal resource allocation: A collective neurodynamic approach</atitle><jtitle>Physica scripta</jtitle><date>2025-02-14</date><risdate>2025</risdate><issn>0031-8949</issn><eissn>1402-4896</eissn><abstract>A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain global information, a novel neurodynamic approach with a two-time scale structure is proposed to track asymptotically the time-varying optimal resource allocation of the given problem in a distributed manner. It is analyzed that the presented neurodynamic model, which is regarded as a singular perturbation system, converges to the time-varying optimal resource allocation by the singular perturbation theory. At last, the obtained results are verified by two numerical examples, from which the designed method has better convergence accuracy than the existing work.</abstract><doi>10.1088/1402-4896/adb652</doi><orcidid>https://orcid.org/0000-0001-5899-574X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0031-8949
ispartof Physica scripta, 2025-02
issn 0031-8949
1402-4896
language eng
recordid cdi_crossref_primary_10_1088_1402_4896_adb652
source Institute of Physics:Jisc Collections:IOP Publishing Read and Publish 2024-2025 (Reading List)
title Distributed time-varying optimal resource allocation: A collective neurodynamic approach
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-25T02%3A48%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distributed%20time-varying%20optimal%20resource%20allocation:%20A%20collective%20neurodynamic%20approach&rft.jtitle=Physica%20scripta&rft.au=Cai,%20Xin&rft.date=2025-02-14&rft.issn=0031-8949&rft.eissn=1402-4896&rft_id=info:doi/10.1088/1402-4896/adb652&rft_dat=%3Ccrossref%3E10_1088_1402_4896_adb652%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-crossref_primary_10_1088_1402_4896_adb6523%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true