Variable-coupled distributed resource allocations for multi-agent system with limited admissible interaction
Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the...
Uložené v:
| Vydané v: | ISA transactions Ročník 157; s. 35 - 45 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
Elsevier Ltd
01.02.2025
|
| Predmet: | |
| ISSN: | 0019-0578, 1879-2022, 1879-2022 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the VCDRA in scenarios where agents are confronted with admissible interaction ranges and external disturbances. Admissible interaction refers to agents only transmitting information within a specified range due to limited communication capabilities or resource availability. The proposed distributed optimization algorithm improves existing interaction mechanisms, reducing computational demands and unifying the communication schemes of the multi-agent system, thereby avoiding additional information exchange. Theoretically, it is proven that the algorithm can get the optimal solution of VCDRA with an exponential rate. Compared to existing algorithms for suppressing external disturbances, the robustness of the proposed distributed optimization algorithm no longer relies on the upper bound of external disturbances, allowing it to remain effective even in the presence of unbounded disturbances. Finally, smart grids and wireless communications applications demonstrate the convergence and robustness of the developed distributed optimization algorithm, further proving its superiority in practical applications.
•Address an extended version of past discussions on distributed resource allocations.•Design a new interaction mechanism for admissible interaction of multi-agent systems.•Maintain the effectiveness of the algorithm under general external disturbances.•Simulations in smart grids and wireless systems confirm our theoretical advancements. |
|---|---|
| AbstractList | Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the VCDRA in scenarios where agents are confronted with admissible interaction ranges and external disturbances. Admissible interaction refers to agents only transmitting information within a specified range due to limited communication capabilities or resource availability. The proposed distributed optimization algorithm improves existing interaction mechanisms, reducing computational demands and unifying the communication schemes of the multi-agent system, thereby avoiding additional information exchange. Theoretically, it is proven that the algorithm can get the optimal solution of VCDRA with an exponential rate. Compared to existing algorithms for suppressing external disturbances, the robustness of the proposed distributed optimization algorithm no longer relies on the upper bound of external disturbances, allowing it to remain effective even in the presence of unbounded disturbances. Finally, smart grids and wireless communications applications demonstrate the convergence and robustness of the developed distributed optimization algorithm, further proving its superiority in practical applications. Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the VCDRA in scenarios where agents are confronted with admissible interaction ranges and external disturbances. Admissible interaction refers to agents only transmitting information within a specified range due to limited communication capabilities or resource availability. The proposed distributed optimization algorithm improves existing interaction mechanisms, reducing computational demands and unifying the communication schemes of the multi-agent system, thereby avoiding additional information exchange. Theoretically, it is proven that the algorithm can get the optimal solution of VCDRA with an exponential rate. Compared to existing algorithms for suppressing external disturbances, the robustness of the proposed distributed optimization algorithm no longer relies on the upper bound of external disturbances, allowing it to remain effective even in the presence of unbounded disturbances. Finally, smart grids and wireless communications applications demonstrate the convergence and robustness of the developed distributed optimization algorithm, further proving its superiority in practical applications.Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the VCDRA in scenarios where agents are confronted with admissible interaction ranges and external disturbances. Admissible interaction refers to agents only transmitting information within a specified range due to limited communication capabilities or resource availability. The proposed distributed optimization algorithm improves existing interaction mechanisms, reducing computational demands and unifying the communication schemes of the multi-agent system, thereby avoiding additional information exchange. Theoretically, it is proven that the algorithm can get the optimal solution of VCDRA with an exponential rate. Compared to existing algorithms for suppressing external disturbances, the robustness of the proposed distributed optimization algorithm no longer relies on the upper bound of external disturbances, allowing it to remain effective even in the presence of unbounded disturbances. Finally, smart grids and wireless communications applications demonstrate the convergence and robustness of the developed distributed optimization algorithm, further proving its superiority in practical applications. Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex correlation in practical systems. Based on the consensus technology, this paper proposes a novel distributed optimization algorithm to address the VCDRA in scenarios where agents are confronted with admissible interaction ranges and external disturbances. Admissible interaction refers to agents only transmitting information within a specified range due to limited communication capabilities or resource availability. The proposed distributed optimization algorithm improves existing interaction mechanisms, reducing computational demands and unifying the communication schemes of the multi-agent system, thereby avoiding additional information exchange. Theoretically, it is proven that the algorithm can get the optimal solution of VCDRA with an exponential rate. Compared to existing algorithms for suppressing external disturbances, the robustness of the proposed distributed optimization algorithm no longer relies on the upper bound of external disturbances, allowing it to remain effective even in the presence of unbounded disturbances. Finally, smart grids and wireless communications applications demonstrate the convergence and robustness of the developed distributed optimization algorithm, further proving its superiority in practical applications. •Address an extended version of past discussions on distributed resource allocations.•Design a new interaction mechanism for admissible interaction of multi-agent systems.•Maintain the effectiveness of the algorithm under general external disturbances.•Simulations in smart grids and wireless systems confirm our theoretical advancements. |
| Author | Luan, Linhua Qin, Sitian |
| Author_xml | – sequence: 1 givenname: Linhua orcidid: 0000-0002-4325-0347 surname: Luan fullname: Luan, Linhua email: 22B912011@stu.hit.edu.cn – sequence: 2 givenname: Sitian orcidid: 0000-0002-4543-4940 surname: Qin fullname: Qin, Sitian email: qinsitian@hitwh.edu.cn |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39668084$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kctuFDEQRS0URCYJf4BQL9l043K_7A0SigKJFIlNyNbyowweuduD7SbK3-PRBJasqlQ696qq7gU5W-OKhLwD2gGF6eO-81mVpDpG2dABdHScX5Ed8Fm0dcTOyI5SEG0d83NykfOeUspGwd-Q815ME6d82JHwqJJXOmBr4nYIaBvrc0leb6X2CXPcksFGhRCNKj6uuXExNcsWim_VD1xLk59zwaV58uVnE_zij0JlF5-zr76NXwsmZY7aK_LaqZDx7Uu9JN-_3Dxc37b3377eXX--b00PUNqBM10b61ALxlAIrkcOHA3QyY0MtEBwZhbOjjPTVFOrhGMgbG-tmLXrL8mHk-8hxV8b5iLrNgZDUCvGLcsehmmahlmwir5_QTe9oJWH5BeVnuXfD1VgOAEmxZwTun8IUHkMQu7lKQh5DEICyPrxKvt0kmG987fHJLPxuBq0PqEp0kb_f4M_3laVhQ |
| Cites_doi | 10.1007/s10957-006-9080-1 10.1155/2024/5562804 10.1109/TAC.2004.834113 10.1109/TCNS.2021.3068349 10.1016/j.isatra.2019.01.043 10.1109/TII.2023.3262340 10.5081/jgps.1.1.1 10.1109/TSMC.2020.3005169 10.1016/j.sysconle.2017.07.012 10.1109/TNNLS.2021.3105385 10.12785/ijcds/130198 10.1109/TSG.2016.2526077 10.1016/S1474-6670(17)64831-6 10.1002/rnc.4830 10.1109/TCYB.2019.2933003 10.1016/j.isatra.2023.04.029 10.3390/technologies12030042 10.1016/j.automatica.2020.108834 10.1109/TCNS.2019.2915626 10.1016/j.jfranklin.2021.05.024 10.1002/oca.3080 10.1109/LCSYS.2022.3188743 10.1016/j.automatica.2021.109886 10.1109/TCYB.2017.2760908 10.1016/j.automatica.2016.08.007 10.1109/TVT.2021.3065994 10.1109/TAC.2019.2937500 10.1016/j.automatica.2022.110358 10.1109/TCYB.2021.3128051 10.1016/j.automatica.2018.12.033 10.1109/TPWRS.2017.2655442 10.1109/IEEECONF51394.2020.9443436 10.1155/2024/6678384 10.1080/00207179.2022.2086927 10.1002/we.1822 10.1016/j.ins.2020.09.017 |
| ContentType | Journal Article |
| Copyright | 2024 Copyright © 2024. Published by Elsevier Ltd. |
| Copyright_xml | – notice: 2024 – notice: Copyright © 2024. Published by Elsevier Ltd. |
| DBID | AAYXX CITATION NPM 7X8 |
| DOI | 10.1016/j.isatra.2024.11.057 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Sciences (General) |
| EISSN | 1879-2022 |
| EndPage | 45 |
| ExternalDocumentID | 39668084 10_1016_j_isatra_2024_11_057 S0019057824005792 |
| Genre | Journal Article |
| GroupedDBID | --- --K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 29J 4.4 457 4G. 53G 5GY 5VS 6P2 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO ABFNM ABFRF ABJNI ABMAC ABNEU ABTAH ABWVN ABXDB ACDAQ ACFVG ACGFO ACNNM ACRLP ACRPL ADBBV ADEZE ADMUD ADNMO ADTZH AEBSH AECPX AEFWE AEIPS AEKER AENEX AFFNX AFJKZ AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AIVDX AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ANKPU ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 GBLVA HVGLF HZ~ IHE J1W JJJVA KOM LY7 M41 MO0 N9A O-L O9- OAUVE OGIMB OZT P-8 P-9 P2P PC. PKN Q38 R2- ROL RPZ SDF SDG SES SET SEW SPC SPCBC SPD SSQ SST SSZ T5K T9H TAE TN5 UHS UNMZH WUQ XPP ZMT ZY4 ~G- 9DU AATTM AAYWO AAYXX ACLOT ACVFH ADCNI AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP APXCP CITATION EFKBS EFLBG ~HD BNPGV NPM SSH 7X8 |
| ID | FETCH-LOGICAL-c311t-482b311dfeb922e998b5818ec106f521b9e1fc79fd572b0b0da9f219d3dd97bf3 |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001429082100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0019-0578 1879-2022 |
| IngestDate | Sat Sep 27 22:18:37 EDT 2025 Thu Apr 03 07:01:29 EDT 2025 Sat Nov 29 06:47:06 EST 2025 Sat Feb 15 15:52:29 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Distributed optimization algorithm Admissible interaction range Multi-agent system External disturbances Variable-coupled distributed resource allocation |
| Language | English |
| License | Copyright © 2024. Published by Elsevier Ltd. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c311t-482b311dfeb922e998b5818ec106f521b9e1fc79fd572b0b0da9f219d3dd97bf3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0002-4325-0347 0000-0002-4543-4940 |
| PMID | 39668084 |
| PQID | 3146664792 |
| PQPubID | 23479 |
| PageCount | 11 |
| ParticipantIDs | proquest_miscellaneous_3146664792 pubmed_primary_39668084 crossref_primary_10_1016_j_isatra_2024_11_057 elsevier_sciencedirect_doi_10_1016_j_isatra_2024_11_057 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-02-01 |
| PublicationDateYYYYMMDD | 2025-02-01 |
| PublicationDate_xml | – month: 02 year: 2025 text: 2025-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | ISA transactions |
| PublicationTitleAlternate | ISA Trans |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | de Galland, Vizuete, Hendrickx, Panteley, Frasca (b23) 2024 Yun, Shim, Ahn (b1) 2019; 102 Kumar, Kumar (b3) 2023; 13 Chen, Guo (b14) 2022; 52 Marquez (b35) 2003 Liao, Wang, Shi, Li, Zhang, Sun (b9) 2024 Guo, Rincćn, Sallent, Yang, Chen, Chen (b44) 2021; 70 Luan, Li, Qin (b16) 2024; 20 Guo, Tong, Wu, Zhang, Sun (b18) 2017; 32 Le, Chen, Yan, Xi (b36) 2018; 48 Li, Xie, Hong (b15) 2020; 7 McDonald (b24) 2002; 1 Shi, Meng, Dong, Wang (b27) 2023; 96 Liu, Li, Shi (b38) 2020; 114 Golmisheh, Shamaghdari (b8) 2024; 460 Clarke (b34) 1983 Zhang YD, Pham KD. Joint Precoding and Scheduling Optimization in Downlink Multicell Satellite Communications. In: 54th asilomar conference on signals, systems, and computers. 2020, p. 480–4. Li, Zhang, Yin, Zhao, Xi, Zheng (b2) 2024 Zhu, Wang (b28) 2024; 45 Hong, Baldi, Yu, Yu (b32) 2022; 52 Firouzbahrami, Nobakhti (b20) 2023; 7 Reddy, Giri, Yemula, Agyekum, Arya (b4) 2024; 2024 Zhu, Wen, Yu, Yu (b26) 2021; 8 Ying, Wang, Luo (b39) 2021; 545 Liu, Qin (b30) 2019; 109 Yi, Hong, Liu (b13) 2016; 74 Li, Nian, Deng (b41) 2021; 358 Boyd, Vandenberghe (b43) 2004 Yadav, Singh, Giri, Bhadoria, Sarker (b6) 2024; 2024 Ho, Servi, Suri (b10) 1980; 13 Lian, Guo, Wang, Wen, Huang (b29) 2023; 34 Dash, Chakravarty, Giri, Ghugar, Fotis (b5) 2024; 12 Moradian, Kia (b31) 2022; 136 Xiao, Boyd (b11) 2006; 129 Kia (b12) 2017; 107 Firouzbahrami, Nobakhti (b21) 2022; 142 Halvgaard, Vandenberghe, Poulsen, Madsen, Jorgensen (b19) 2016; 7 Li, Wu, Li, Ding (b42) 2020; 65 Skjong, Johansen, Molinas (b7) 2019; 93 Li, Wang, He (b40) 2023; 139 Li, Nian, Deng (b25) 2020; 30 Liu, Ye, Ding, Xie, Xu (b22) 2024 Gebraad, Teeuwisse, van Wingerden, Fleming, Ruben, Marden, Pao (b17) 2016; 19 Olfati-Saber, Murray (b33) 2004; 49 Liang, Wang, Yin (b37) 2021; 51 Skjong (10.1016/j.isatra.2024.11.057_b7) 2019; 93 Firouzbahrami (10.1016/j.isatra.2024.11.057_b20) 2023; 7 Li (10.1016/j.isatra.2024.11.057_b15) 2020; 7 Boyd (10.1016/j.isatra.2024.11.057_b43) 2004 Gebraad (10.1016/j.isatra.2024.11.057_b17) 2016; 19 Clarke (10.1016/j.isatra.2024.11.057_b34) 1983 Reddy (10.1016/j.isatra.2024.11.057_b4) 2024; 2024 Shi (10.1016/j.isatra.2024.11.057_b27) 2023; 96 Moradian (10.1016/j.isatra.2024.11.057_b31) 2022; 136 Ho (10.1016/j.isatra.2024.11.057_b10) 1980; 13 Liu (10.1016/j.isatra.2024.11.057_b30) 2019; 109 Le (10.1016/j.isatra.2024.11.057_b36) 2018; 48 Xiao (10.1016/j.isatra.2024.11.057_b11) 2006; 129 Firouzbahrami (10.1016/j.isatra.2024.11.057_b21) 2022; 142 Zhu (10.1016/j.isatra.2024.11.057_b28) 2024; 45 Yun (10.1016/j.isatra.2024.11.057_b1) 2019; 102 Li (10.1016/j.isatra.2024.11.057_b41) 2021; 358 Dash (10.1016/j.isatra.2024.11.057_b5) 2024; 12 Zhu (10.1016/j.isatra.2024.11.057_b26) 2021; 8 Liu (10.1016/j.isatra.2024.11.057_b22) 2024 Olfati-Saber (10.1016/j.isatra.2024.11.057_b33) 2004; 49 de Galland (10.1016/j.isatra.2024.11.057_b23) 2024 Lian (10.1016/j.isatra.2024.11.057_b29) 2023; 34 Golmisheh (10.1016/j.isatra.2024.11.057_b8) 2024; 460 Liu (10.1016/j.isatra.2024.11.057_b38) 2020; 114 Li (10.1016/j.isatra.2024.11.057_b2) 2024 Chen (10.1016/j.isatra.2024.11.057_b14) 2022; 52 10.1016/j.isatra.2024.11.057_b45 Hong (10.1016/j.isatra.2024.11.057_b32) 2022; 52 Liao (10.1016/j.isatra.2024.11.057_b9) 2024 Halvgaard (10.1016/j.isatra.2024.11.057_b19) 2016; 7 Marquez (10.1016/j.isatra.2024.11.057_b35) 2003 Kumar (10.1016/j.isatra.2024.11.057_b3) 2023; 13 Luan (10.1016/j.isatra.2024.11.057_b16) 2024; 20 McDonald (10.1016/j.isatra.2024.11.057_b24) 2002; 1 Kia (10.1016/j.isatra.2024.11.057_b12) 2017; 107 Yadav (10.1016/j.isatra.2024.11.057_b6) 2024; 2024 Yi (10.1016/j.isatra.2024.11.057_b13) 2016; 74 Li (10.1016/j.isatra.2024.11.057_b25) 2020; 30 Guo (10.1016/j.isatra.2024.11.057_b44) 2021; 70 Li (10.1016/j.isatra.2024.11.057_b42) 2020; 65 Ying (10.1016/j.isatra.2024.11.057_b39) 2021; 545 Guo (10.1016/j.isatra.2024.11.057_b18) 2017; 32 Liang (10.1016/j.isatra.2024.11.057_b37) 2021; 51 Li (10.1016/j.isatra.2024.11.057_b40) 2023; 139 |
| References_xml | – volume: 96 start-page: 2181 year: 2023 end-page: 2189 ident: b27 article-title: Distributed resource allocation algorithm for second-order multi-agent systems with external disturbances publication-title: Int J Control – volume: 51 start-page: 2529 year: 2021 end-page: 2539 ident: b37 article-title: Distributed dual subgradient algorithms with iterate-averaging feedback for convex optimization with coupled constraints publication-title: IEEE Trans Cybern – volume: 32 start-page: 3736 year: 2017 end-page: 3746 ident: b18 article-title: Coordinated multi-area economic dispatch via critical region projection publication-title: IEEE Trans Power Syst – volume: 102 start-page: 86 year: 2019 end-page: 93 ident: b1 article-title: Initialization-free privacy-guaranteed distributed algorithm for economic dispatch problem publication-title: Automatica – volume: 52 start-page: 845 year: 2022 end-page: 854 ident: b14 article-title: Initialization-free distributed fixed-time convergent algorithms for optimal resource allocation publication-title: IEEE Trans Syst Man Cybern Syst – volume: 13 start-page: 1207 year: 2023 end-page: 1216 ident: b3 article-title: Ant lion optimized hybrid-fuzzy-PID controller for frequency-voltage regulation in hybrid power system publication-title: Int J Comput Digit Syst – volume: 2024 year: 2024 ident: b4 article-title: Optimal operation of cogeneration power plant integrated with solar photovoltaics using DLS-WMA and ANN publication-title: Int J Energy Res – year: 2024 ident: b2 article-title: Prescribed-time distributed optimization problem with constraints publication-title: ISA Trans – volume: 7 start-page: 1675 year: 2016 end-page: 1682 ident: b19 article-title: Distributed model predictive control for smart energy systems publication-title: IEEE Trans Smart Grid – year: 2024 ident: b23 article-title: Random coordinate descent for resource allocation in open multi-agent systems publication-title: IEEE Trans Automat Contr – volume: 358 start-page: 5951 year: 2021 end-page: 5970 ident: b41 article-title: Distributed optimization of general linear multi-agent systems with external disturbance publication-title: J Franklin Inst – volume: 1 start-page: 1 year: 2002 end-page: 17 ident: b24 article-title: The modernization of GPS: Plan, new capabilities and the future relationship to galileo publication-title: J Glob Optim Position Syst – volume: 19 start-page: 95 year: 2016 end-page: 114 ident: b17 article-title: Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study publication-title: Wind Energy – volume: 8 start-page: 1454 year: 2021 end-page: 1464 ident: b26 article-title: Nonsmooth resource allocation of multi-agent systems with disturbances: A proximal approach publication-title: IEEE Trans Control Netw Syst – volume: 45 start-page: 974 year: 2024 end-page: 992 ident: b28 article-title: Distributed optimization of high-order nonlinear multi-agent systems with disturbance under switching topologies publication-title: Optim Control Appl Methods – volume: 49 start-page: 1520 year: 2004 end-page: 1533 ident: b33 article-title: Consensus problems in networks of agents with switching topology and time-delays publication-title: IEEE Trans Automat Contr – volume: 74 start-page: 259 year: 2016 end-page: 269 ident: b13 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and its application to economic dispatch of power systems publication-title: Automatica – volume: 12 start-page: 42 year: 2024 ident: b5 article-title: Performance assessment of different sustainable energy systems using multiple-criteria decision-making model and self-organizing maps publication-title: Technologies – year: 1983 ident: b34 article-title: Optimization and nonsmooth analysis – volume: 65 start-page: 1763 year: 2020 end-page: 1770 ident: b42 article-title: Distributed optimal coordination for heterogeneous linear multi-agent systems with event-triggered mechanisms publication-title: IEEE Trans Automat Contr – year: 2024 ident: b22 article-title: Distributed online resource allocation in open networks publication-title: IEEE Trans Automat Contr – volume: 30 start-page: 1298 year: 2020 end-page: 1310 ident: b25 article-title: Distributed resource allocation of second-order multiagent systems with exogenous disturbances publication-title: Int J Robust Nonlinear Control – volume: 460 year: 2024 ident: b8 article-title: Heterogeneous optimal formation control of nonlinear multi-agent systems with unknown dynamics by safe reinforcement learning publication-title: Appl Math Comput – volume: 129 start-page: 469 year: 2006 end-page: 488 ident: b11 article-title: Optimal scaling of a gradient method for distributed resource allocation publication-title: J Optim Theory Appl – volume: 109 start-page: 147 year: 2019 end-page: 158 ident: b30 article-title: A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints publication-title: IEEE Trans Neural Netw Learn Syst – reference: Zhang YD, Pham KD. Joint Precoding and Scheduling Optimization in Downlink Multicell Satellite Communications. In: 54th asilomar conference on signals, systems, and computers. 2020, p. 480–4. – volume: 52 start-page: 13874 year: 2022 end-page: 13886 ident: b32 article-title: Distributed time-varying optimization of second-order multiagent systems under limited interaction ranges publication-title: IEEE Trans Cybern – volume: 7 start-page: 74 year: 2020 end-page: 84 ident: b15 article-title: Distributed continuous-time nonsmooth convex optimization with coupled inequality constraints publication-title: IEEE Trans Control Netw Syst – volume: 20 start-page: 349 year: 2024 end-page: 357 ident: b16 article-title: Neurodynamic approaches to multiple constrained distributed resource allocation with planned or self-regulated demand publication-title: IEEE Trans Ind Inform – volume: 136 year: 2022 ident: b31 article-title: A distributed continuous-time modified Newton-raphson algorithm publication-title: Automatica – volume: 93 start-page: 231 year: 2019 end-page: 243 ident: b7 article-title: Distributed control architecture for real-time model predictive control for system-level harmonic mitigation in power systems publication-title: ISA Trans – volume: 13 start-page: 475 year: 1980 end-page: 482 ident: b10 article-title: A class of center-free resource allocation algorithms publication-title: IFAC Proc Vol – volume: 139 start-page: 337 year: 2023 end-page: 356 ident: b40 article-title: Distributed neurodynamic optimization for multi-energy management with time-varying external disturbances considering time-varying emission limitations and load demand in multi-microgrid publication-title: ISA Trans – volume: 114 year: 2020 ident: b38 article-title: A unitary distributed subgradient method for multi-agent optimization with different coupling sources publication-title: Automatica – volume: 142 year: 2022 ident: b21 article-title: Cooperative fixed-time/finite-time distributed robust optimization of multi-agent systems publication-title: Automatica – year: 2024 ident: b9 article-title: Resilient distributed optimization for cyber-physical systems under adversarial environments: An event-based method publication-title: ISA Trans – volume: 70 start-page: 3860 year: 2021 end-page: 3876 ident: b44 article-title: Gateway placement optimization in LEO satellite networks based on traffic estimation publication-title: IEEE Trans Veh Technol – volume: 48 start-page: 3149 year: 2018 end-page: 3158 ident: b36 article-title: A neurodynamic approach to distributed optimization with globally coupled constraints publication-title: IEEE Trans Cybern – volume: 7 start-page: 325 year: 2023 end-page: 330 ident: b20 article-title: Finite-time distributed economic dispatch over network systems with coupled local costs publication-title: IEEE Contr Syst Lett – volume: 2024 year: 2024 ident: b6 article-title: Comparison of bioinspired techniques for tracking maximum power under variable environmental conditions publication-title: Int J Intell Syst – volume: 107 start-page: 49 year: 2017 end-page: 57 ident: b12 article-title: Distributed optimal in-network resource allocation algorithm design via a control theoretic approach publication-title: Syst Control Lett – year: 2004 ident: b43 article-title: Convex optimization – volume: 34 start-page: 1430 year: 2023 end-page: 1438 ident: b29 article-title: Adaptive exact penalty design for optimal resource allocation publication-title: IEEE Trans Neural Netw Learn Syst – year: 2003 ident: b35 article-title: Nonlinear control systems analysis and design – volume: 545 start-page: 663 year: 2021 end-page: 687 ident: b39 article-title: Optimization on data offloading ratio of designed caching in heterogeneous mobile wireless networks publication-title: Inf Sci – volume: 129 start-page: 469 issue: 3 year: 2006 ident: 10.1016/j.isatra.2024.11.057_b11 article-title: Optimal scaling of a gradient method for distributed resource allocation publication-title: J Optim Theory Appl doi: 10.1007/s10957-006-9080-1 – volume: 2024 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b4 article-title: Optimal operation of cogeneration power plant integrated with solar photovoltaics using DLS-WMA and ANN publication-title: Int J Energy Res doi: 10.1155/2024/5562804 – volume: 49 start-page: 1520 issue: 9 year: 2004 ident: 10.1016/j.isatra.2024.11.057_b33 article-title: Consensus problems in networks of agents with switching topology and time-delays publication-title: IEEE Trans Automat Contr doi: 10.1109/TAC.2004.834113 – volume: 8 start-page: 1454 issue: 3 year: 2021 ident: 10.1016/j.isatra.2024.11.057_b26 article-title: Nonsmooth resource allocation of multi-agent systems with disturbances: A proximal approach publication-title: IEEE Trans Control Netw Syst doi: 10.1109/TCNS.2021.3068349 – volume: 93 start-page: 231 year: 2019 ident: 10.1016/j.isatra.2024.11.057_b7 article-title: Distributed control architecture for real-time model predictive control for system-level harmonic mitigation in power systems publication-title: ISA Trans doi: 10.1016/j.isatra.2019.01.043 – year: 2024 ident: 10.1016/j.isatra.2024.11.057_b9 article-title: Resilient distributed optimization for cyber-physical systems under adversarial environments: An event-based method publication-title: ISA Trans – volume: 20 start-page: 349 issue: 1 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b16 article-title: Neurodynamic approaches to multiple constrained distributed resource allocation with planned or self-regulated demand publication-title: IEEE Trans Ind Inform doi: 10.1109/TII.2023.3262340 – volume: 1 start-page: 1 issue: 1 year: 2002 ident: 10.1016/j.isatra.2024.11.057_b24 article-title: The modernization of GPS: Plan, new capabilities and the future relationship to galileo publication-title: J Glob Optim Position Syst doi: 10.5081/jgps.1.1.1 – year: 1983 ident: 10.1016/j.isatra.2024.11.057_b34 – year: 2024 ident: 10.1016/j.isatra.2024.11.057_b2 article-title: Prescribed-time distributed optimization problem with constraints publication-title: ISA Trans – volume: 52 start-page: 845 issue: 2 year: 2022 ident: 10.1016/j.isatra.2024.11.057_b14 article-title: Initialization-free distributed fixed-time convergent algorithms for optimal resource allocation publication-title: IEEE Trans Syst Man Cybern Syst doi: 10.1109/TSMC.2020.3005169 – year: 2004 ident: 10.1016/j.isatra.2024.11.057_b43 – volume: 107 start-page: 49 year: 2017 ident: 10.1016/j.isatra.2024.11.057_b12 article-title: Distributed optimal in-network resource allocation algorithm design via a control theoretic approach publication-title: Syst Control Lett doi: 10.1016/j.sysconle.2017.07.012 – year: 2024 ident: 10.1016/j.isatra.2024.11.057_b22 article-title: Distributed online resource allocation in open networks publication-title: IEEE Trans Automat Contr – volume: 34 start-page: 1430 issue: 3 year: 2023 ident: 10.1016/j.isatra.2024.11.057_b29 article-title: Adaptive exact penalty design for optimal resource allocation publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2021.3105385 – year: 2024 ident: 10.1016/j.isatra.2024.11.057_b23 article-title: Random coordinate descent for resource allocation in open multi-agent systems publication-title: IEEE Trans Automat Contr – volume: 13 start-page: 1207 issue: 1 year: 2023 ident: 10.1016/j.isatra.2024.11.057_b3 article-title: Ant lion optimized hybrid-fuzzy-PID controller for frequency-voltage regulation in hybrid power system publication-title: Int J Comput Digit Syst doi: 10.12785/ijcds/130198 – volume: 7 start-page: 1675 issue: 3 year: 2016 ident: 10.1016/j.isatra.2024.11.057_b19 article-title: Distributed model predictive control for smart energy systems publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2016.2526077 – volume: 13 start-page: 475 issue: 6 year: 1980 ident: 10.1016/j.isatra.2024.11.057_b10 article-title: A class of center-free resource allocation algorithms publication-title: IFAC Proc Vol doi: 10.1016/S1474-6670(17)64831-6 – volume: 30 start-page: 1298 issue: 3 year: 2020 ident: 10.1016/j.isatra.2024.11.057_b25 article-title: Distributed resource allocation of second-order multiagent systems with exogenous disturbances publication-title: Int J Robust Nonlinear Control doi: 10.1002/rnc.4830 – volume: 51 start-page: 2529 issue: 5 year: 2021 ident: 10.1016/j.isatra.2024.11.057_b37 article-title: Distributed dual subgradient algorithms with iterate-averaging feedback for convex optimization with coupled constraints publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2019.2933003 – volume: 139 start-page: 337 year: 2023 ident: 10.1016/j.isatra.2024.11.057_b40 article-title: Distributed neurodynamic optimization for multi-energy management with time-varying external disturbances considering time-varying emission limitations and load demand in multi-microgrid publication-title: ISA Trans doi: 10.1016/j.isatra.2023.04.029 – volume: 12 start-page: 42 issue: 3 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b5 article-title: Performance assessment of different sustainable energy systems using multiple-criteria decision-making model and self-organizing maps publication-title: Technologies doi: 10.3390/technologies12030042 – volume: 114 year: 2020 ident: 10.1016/j.isatra.2024.11.057_b38 article-title: A unitary distributed subgradient method for multi-agent optimization with different coupling sources publication-title: Automatica doi: 10.1016/j.automatica.2020.108834 – volume: 7 start-page: 74 issue: 1 year: 2020 ident: 10.1016/j.isatra.2024.11.057_b15 article-title: Distributed continuous-time nonsmooth convex optimization with coupled inequality constraints publication-title: IEEE Trans Control Netw Syst doi: 10.1109/TCNS.2019.2915626 – volume: 358 start-page: 5951 issue: 11 year: 2021 ident: 10.1016/j.isatra.2024.11.057_b41 article-title: Distributed optimization of general linear multi-agent systems with external disturbance publication-title: J Franklin Inst doi: 10.1016/j.jfranklin.2021.05.024 – volume: 45 start-page: 974 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b28 article-title: Distributed optimization of high-order nonlinear multi-agent systems with disturbance under switching topologies publication-title: Optim Control Appl Methods doi: 10.1002/oca.3080 – volume: 7 start-page: 325 year: 2023 ident: 10.1016/j.isatra.2024.11.057_b20 article-title: Finite-time distributed economic dispatch over network systems with coupled local costs publication-title: IEEE Contr Syst Lett doi: 10.1109/LCSYS.2022.3188743 – volume: 136 year: 2022 ident: 10.1016/j.isatra.2024.11.057_b31 article-title: A distributed continuous-time modified Newton-raphson algorithm publication-title: Automatica doi: 10.1016/j.automatica.2021.109886 – volume: 109 start-page: 147 year: 2019 ident: 10.1016/j.isatra.2024.11.057_b30 article-title: A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints publication-title: IEEE Trans Neural Netw Learn Syst – volume: 48 start-page: 3149 issue: 11 year: 2018 ident: 10.1016/j.isatra.2024.11.057_b36 article-title: A neurodynamic approach to distributed optimization with globally coupled constraints publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2017.2760908 – volume: 74 start-page: 259 issue: 12 year: 2016 ident: 10.1016/j.isatra.2024.11.057_b13 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and its application to economic dispatch of power systems publication-title: Automatica doi: 10.1016/j.automatica.2016.08.007 – volume: 70 start-page: 3860 issue: 4 year: 2021 ident: 10.1016/j.isatra.2024.11.057_b44 article-title: Gateway placement optimization in LEO satellite networks based on traffic estimation publication-title: IEEE Trans Veh Technol doi: 10.1109/TVT.2021.3065994 – volume: 65 start-page: 1763 issue: 4 year: 2020 ident: 10.1016/j.isatra.2024.11.057_b42 article-title: Distributed optimal coordination for heterogeneous linear multi-agent systems with event-triggered mechanisms publication-title: IEEE Trans Automat Contr doi: 10.1109/TAC.2019.2937500 – volume: 142 year: 2022 ident: 10.1016/j.isatra.2024.11.057_b21 article-title: Cooperative fixed-time/finite-time distributed robust optimization of multi-agent systems publication-title: Automatica doi: 10.1016/j.automatica.2022.110358 – volume: 52 start-page: 13874 issue: 12 year: 2022 ident: 10.1016/j.isatra.2024.11.057_b32 article-title: Distributed time-varying optimization of second-order multiagent systems under limited interaction ranges publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2021.3128051 – volume: 102 start-page: 86 year: 2019 ident: 10.1016/j.isatra.2024.11.057_b1 article-title: Initialization-free privacy-guaranteed distributed algorithm for economic dispatch problem publication-title: Automatica doi: 10.1016/j.automatica.2018.12.033 – volume: 32 start-page: 3736 issue: 5 year: 2017 ident: 10.1016/j.isatra.2024.11.057_b18 article-title: Coordinated multi-area economic dispatch via critical region projection publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2655442 – year: 2003 ident: 10.1016/j.isatra.2024.11.057_b35 – ident: 10.1016/j.isatra.2024.11.057_b45 doi: 10.1109/IEEECONF51394.2020.9443436 – volume: 2024 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b6 article-title: Comparison of bioinspired techniques for tracking maximum power under variable environmental conditions publication-title: Int J Intell Syst doi: 10.1155/2024/6678384 – volume: 96 start-page: 2181 issue: 9 year: 2023 ident: 10.1016/j.isatra.2024.11.057_b27 article-title: Distributed resource allocation algorithm for second-order multi-agent systems with external disturbances publication-title: Int J Control doi: 10.1080/00207179.2022.2086927 – volume: 460 year: 2024 ident: 10.1016/j.isatra.2024.11.057_b8 article-title: Heterogeneous optimal formation control of nonlinear multi-agent systems with unknown dynamics by safe reinforcement learning publication-title: Appl Math Comput – volume: 19 start-page: 95 issue: 1 year: 2016 ident: 10.1016/j.isatra.2024.11.057_b17 article-title: Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study publication-title: Wind Energy doi: 10.1002/we.1822 – volume: 545 start-page: 663 year: 2021 ident: 10.1016/j.isatra.2024.11.057_b39 article-title: Optimization on data offloading ratio of designed caching in heterogeneous mobile wireless networks publication-title: Inf Sci doi: 10.1016/j.ins.2020.09.017 |
| SSID | ssj0002598 |
| Score | 2.3830457 |
| Snippet | Variable-coupled distributed resource allocations (VCDRAs) involve optimizing resource distribution among interconnected entities, reflecting the complex... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 35 |
| SubjectTerms | Admissible interaction range Distributed optimization algorithm External disturbances Multi-agent system Variable-coupled distributed resource allocation |
| Title | Variable-coupled distributed resource allocations for multi-agent system with limited admissible interaction |
| URI | https://dx.doi.org/10.1016/j.isatra.2024.11.057 https://www.ncbi.nlm.nih.gov/pubmed/39668084 https://www.proquest.com/docview/3146664792 |
| Volume | 157 |
| WOSCitedRecordID | wos001429082100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-2022 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002598 issn: 0019-0578 databaseCode: AIEXJ dateStart: 19950301 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1La9wwEB6apJT0UJr0tX0EFXpoCS62_JB1XEpKU0JoSRr2JixLohu23mV3XfLzO7Ikx01Y2h56McbG3kXfp9GMPPMNwJu4qvJC8iKikpooM0ZGnMUaJx6XtaJc066K_-KEnZ6Wkwn_4rt0rrp2AqxpyqsrvvivUOM1BNuWzv4D3P1L8QKeI-h4RNjx-FfAX2D0a-uhonreLmboTyqrjWvbWmlbqeJ26w_t9_aQSG4zDbvEwqiyhVZe3dlt0c5cAdRhpZAQOH1mulOYWLp6iKFre3w2tg0nQvfx3lc_aX15w7T53vaLwFenXXA2XQd--q0HmodsZbtyOHOJkOLg09_tqVOc9hbRiZHcMtRuz-Cyy1laWv0nmr23aqru2QFMix8dTimGZWXsusndEMgOt7Zgh7Kco3XeGR8fTT73CzJGeGWomuxS-27_6C7cC6_Z5KBsCkA6R-T8ITzwEQQZO-T34I5u9uH-QFdyH_a8xV6Rt15W_N0jmN0kBhkQgwRikAExCBKDDIhBHDGIJQbxxCDXxCADYjyGbx-Pzj98inyvjahOk2QdZSWVeKKMlpxSjUG4zNGX03USFwZdPMl1YmrGjcoZlbGMVcUNrnYqVYozadInsN3MG_0MSFWYVEuMa2mdZpJXVaLzkioVp8bgalGMIAoDLBZOUkWEXMNL4bARFhuMTgViMwIWUBDeLXTunkAy_eHJ1wE0gWNhP4VVjZ63K5Gig1AUGeN0BE8dmv1_CUR4vvHOC9i9ng4vYXu9bPUruFv_XE9XywPYYpPywJPwFzfmmKM |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Variable-coupled+distributed+resource+allocations+for+multi-agent+system+with+limited+admissible+interaction&rft.jtitle=ISA+transactions&rft.au=Luan%2C+Linhua&rft.au=Qin%2C+Sitian&rft.date=2025-02-01&rft.eissn=1879-2022&rft.volume=157&rft.spage=35&rft_id=info:doi/10.1016%2Fj.isatra.2024.11.057&rft_id=info%3Apmid%2F39668084&rft.externalDocID=39668084 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0019-0578&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0019-0578&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0019-0578&client=summon |