Distributed event-triggered algorithm for convex optimization with coupled constraints
This paper develops a distributed primal–dual algorithm via an event-triggered mechanism to solve a class of convex optimization problems subject to local set constraints, coupled equality and inequality constraints. Different from some existing distributed algorithms with the diminishing step-sizes...
Gespeichert in:
| Veröffentlicht in: | Automatica (Oxford) Jg. 170; S. 111877 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.12.2024
|
| Schlagworte: | |
| ISSN: | 0005-1098 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | This paper develops a distributed primal–dual algorithm via an event-triggered mechanism to solve a class of convex optimization problems subject to local set constraints, coupled equality and inequality constraints. Different from some existing distributed algorithms with the diminishing step-sizes, our algorithm uses the constant step-sizes, and is shown to achieve an exact convergence to an optimal solution with an ergodic convergence rate of O(1/k) for general convex objective functions, where k>0 is the iteration number. Based on the event-triggered communication mechanism, the proposed algorithm can effectively reduce the communication cost without sacrificing the convergence rate. Finally, a numerical example is presented to verify the effectiveness of the proposed algorithm. |
|---|---|
| AbstractList | This paper develops a distributed primal–dual algorithm via an event-triggered mechanism to solve a class of convex optimization problems subject to local set constraints, coupled equality and inequality constraints. Different from some existing distributed algorithms with the diminishing step-sizes, our algorithm uses the constant step-sizes, and is shown to achieve an exact convergence to an optimal solution with an ergodic convergence rate of O(1/k) for general convex objective functions, where k>0 is the iteration number. Based on the event-triggered communication mechanism, the proposed algorithm can effectively reduce the communication cost without sacrificing the convergence rate. Finally, a numerical example is presented to verify the effectiveness of the proposed algorithm. |
| ArticleNumber | 111877 |
| Author | Meng, Ziyang Huang, Yi Sun, Jian Zeng, Xianlin |
| Author_xml | – sequence: 1 givenname: Yi surname: Huang fullname: Huang, Yi email: yihuang@bit.edu.cn organization: State Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China – sequence: 2 givenname: Xianlin surname: Zeng fullname: Zeng, Xianlin email: xianlin.zeng@bit.edu.cn organization: State Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China – sequence: 3 givenname: Jian surname: Sun fullname: Sun, Jian email: sunjian@bit.edu.cn organization: State Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China – sequence: 4 givenname: Ziyang surname: Meng fullname: Meng, Ziyang email: ziyangmeng@mail.tsinghua.edu.cn organization: Department of Precision Instrument, Tsinghua University, Beijing 100084, China |
| BookMark | eNqFkM1OwzAQhH0oEm3hHfICCd7EiZ0jlF-pEhfgajnOprhq7Mp2w8_T46pIHDmtRjszu_oWZGadRUIyoAVQaK62hTpEN6potCpKWrICAATnMzKnlNY50Fack0UI2yQZiHJO3m5NiN50h4h9hhPamCe52aBPWu02zpv4PmaD85l2dsLPzO2jGc13OuJs9pG2aXHY75I9GVKXMjaGC3I2qF3Ay9-5JK_3dy-rx3z9_PC0ul7numyqmCuKWvCyFkwLbPtawSA4tLzqBKc9ZxVvmaYKO8YHVrMWWddCP5TY0Bpow6olEade7V0IHge592ZU_ksClUcmciv_mMgjE3likqI3pyim_yaDXgZt0GrsjUcdZe_M_yU_PgR1uQ |
| Cites_doi | 10.1109/JPROC.2018.2829439 10.1109/TAC.2018.2805260 10.1016/j.automatica.2017.07.003 10.1016/j.automatica.2016.08.007 10.1016/j.arcontrol.2019.05.006 10.1007/s10957-015-0758-0 10.1109/TAC.2019.2912494 10.1137/070708111 10.1016/j.automatica.2020.108962 10.1137/16M1082305 10.1109/TCYB.2019.2933003 10.1109/TAC.2020.2989282 10.1109/TAC.2017.2681200 10.1137/17M1118609 10.1007/s10589-013-9609-9 10.1109/TCNS.2019.2921284 10.1109/TAC.2019.2910946 10.1109/TAC.2013.2278132 10.1137/19M127375X 10.1109/TCNS.2017.2698261 10.1109/TAC.2020.3014316 10.1016/j.automatica.2016.07.003 10.1109/TAC.2018.2800760 10.1109/TSMC.2017.2694323 10.1109/TAC.2019.2916985 10.1109/TAC.2010.2041686 10.1109/TAC.2014.2308612 10.1109/TCNS.2019.2925267 |
| ContentType | Journal Article |
| Copyright | 2024 Elsevier Ltd |
| Copyright_xml | – notice: 2024 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.automatica.2024.111877 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| ExternalDocumentID | 10_1016_j_automatica_2024_111877 S0005109824003716 |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 62103223; 62073035; 61833009; 61925303; 62088101; U19B2029 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 23N 3R3 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 77I 8P~ 9JN 9JO AAAKF AAAKG AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AATTM AAXKI AAXUO AAYWO ABFNM ABFRF ABJNI ABMAC ABUCO ABWVN ABXDB ACBEA ACDAQ ACGFO ACGFS ACNNM ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADIYS ADMUD ADNMO ADTZH AEBSH AECPX AEFWE AEIPS AEKER AENEX AEUPX AFFNX AFJKZ AFPUW AFTJW AGHFR AGQPQ AGUBO AGYEJ AHHHB AHJVU AHPGS AI. AIEXJ AIGII AIIUN AIKHN AITUG AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU APLSM APXCP ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HAMUX HLZ HVGLF HZ~ H~9 IHE J1W JJJVA K-O KOM LG9 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ RXW SBC SDF SDG SDP SES SET SEW SPC SPCBC SSB SSD SST SSZ T5K T9H TAE TN5 VH1 WH7 WUQ X6Y XPP ZMT ~G- ~HD 9DU AAYXX ABUFD ACLOT CITATION |
| ID | FETCH-LOGICAL-c263t-a0ec872584c8e9d5a1f871973b870d743794c0aeb47f4549e4b91df2e60510643 |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001302487600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0005-1098 |
| IngestDate | Sat Nov 29 07:38:22 EST 2025 Sat Sep 20 17:13:43 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Constant step-sizes Distributed optimization Event-triggered communication Coupled constraints |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c263t-a0ec872584c8e9d5a1f871973b870d743794c0aeb47f4549e4b91df2e60510643 |
| ParticipantIDs | crossref_primary_10_1016_j_automatica_2024_111877 elsevier_sciencedirect_doi_10_1016_j_automatica_2024_111877 |
| PublicationCentury | 2000 |
| PublicationDate | December 2024 2024-12-00 |
| PublicationDateYYYYMMDD | 2024-12-01 |
| PublicationDate_xml | – month: 12 year: 2024 text: December 2024 |
| PublicationDecade | 2020 |
| PublicationTitle | Automatica (Oxford) |
| PublicationYear | 2024 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Yang, Yi, Wu (b29) 2019; 47 Li, Feng, Xie (b8) 2020; 66 Simonetto, Jamali-Rad (b24) 2016; 168 Liu, Li, Shi (b14) 2019; 65 Xu (b26) 2017; 27 Buehrer, Wymeersch, Vaghefi (b1) 2018; 106 Falsone, Notarnicola, Notarstefano (b5) 2020; 117 Gharesifard, Cortes (b6) 2013; 59 Wu, Wang, Lu (b25) 2022 Qu, Li (b22) 2017; 5 Liang, Yin (b11) 2019; 51 Meinel, Ulbrich, Albrecht (b16) 2014; 57 Nedic, Ozdaglar (b18) 2009; 19 Mokhtari, Ozdaglar, Pattathil (b17) 2020; 30 Zeng, Yi, Hong, Xie (b31) 2018; 56 Kajiyama, Hayashi, Takai (b7) 2018; 63 Liang, Yin (b10) 2019; 65 Liu, Yang, Hong (b15) 2017; 62 Falsone, Margellos, Garatti (b4) 2017; 84 Chang, Nedic, Scaglione (b2) 2014; 59 Notarnicola, Notarstefano (b20) 2019; 7 Cherukuri, Cortes (b3) 2016; 74 Li, Liu, Soh (b9) 2017; 48 Liu, Li, Shi (b13) 2020; 66 Xu, Zhu, Soh, Xie (b27) 2018; 63 Nedic, Ozdaglar, Parrilo (b19) 2010; 55 Schmidt, Roux, Bach (b23) 2011 Yi, Hong, Liu (b30) 2016; 74 Yang, Wu, Fang (b28) 2019; 6 Lin, Ren, C, Gui (b12) 2019; 64 Polyak (b21) 1987 Yang (10.1016/j.automatica.2024.111877_b28) 2019; 6 Polyak (10.1016/j.automatica.2024.111877_b21) 1987 Mokhtari (10.1016/j.automatica.2024.111877_b17) 2020; 30 Buehrer (10.1016/j.automatica.2024.111877_b1) 2018; 106 Nedic (10.1016/j.automatica.2024.111877_b18) 2009; 19 Xu (10.1016/j.automatica.2024.111877_b27) 2018; 63 Li (10.1016/j.automatica.2024.111877_b8) 2020; 66 Gharesifard (10.1016/j.automatica.2024.111877_b6) 2013; 59 Liu (10.1016/j.automatica.2024.111877_b14) 2019; 65 Li (10.1016/j.automatica.2024.111877_b9) 2017; 48 Yang (10.1016/j.automatica.2024.111877_b29) 2019; 47 Chang (10.1016/j.automatica.2024.111877_b2) 2014; 59 Liang (10.1016/j.automatica.2024.111877_b10) 2019; 65 Kajiyama (10.1016/j.automatica.2024.111877_b7) 2018; 63 Liu (10.1016/j.automatica.2024.111877_b15) 2017; 62 Schmidt (10.1016/j.automatica.2024.111877_b23) 2011 Liang (10.1016/j.automatica.2024.111877_b11) 2019; 51 Falsone (10.1016/j.automatica.2024.111877_b4) 2017; 84 Falsone (10.1016/j.automatica.2024.111877_b5) 2020; 117 Notarnicola (10.1016/j.automatica.2024.111877_b20) 2019; 7 Zeng (10.1016/j.automatica.2024.111877_b31) 2018; 56 Meinel (10.1016/j.automatica.2024.111877_b16) 2014; 57 Xu (10.1016/j.automatica.2024.111877_b26) 2017; 27 Qu (10.1016/j.automatica.2024.111877_b22) 2017; 5 Cherukuri (10.1016/j.automatica.2024.111877_b3) 2016; 74 Lin (10.1016/j.automatica.2024.111877_b12) 2019; 64 Liu (10.1016/j.automatica.2024.111877_b13) 2020; 66 Yi (10.1016/j.automatica.2024.111877_b30) 2016; 74 Simonetto (10.1016/j.automatica.2024.111877_b24) 2016; 168 Nedic (10.1016/j.automatica.2024.111877_b19) 2010; 55 Wu (10.1016/j.automatica.2024.111877_b25) 2022 |
| References_xml | – volume: 6 start-page: 1124 year: 2019 end-page: 1134 ident: b28 article-title: Distributed energy resource coordination over time-varying directed communication networks publication-title: IEEE Transactions on Control of Network Systems – volume: 63 start-page: 3809 year: 2018 end-page: 3824 ident: b27 article-title: A Bregman splitting scheme for distributed optimization over networks publication-title: IEEE Transactions on Automatic Control – volume: 62 start-page: 4259 year: 2017 end-page: 4265 ident: b15 article-title: Constrained consensus algorithms with fixed step size for distributed convex optimization over multiagent networks publication-title: IEEE Transactions on Automatic Control – volume: 55 start-page: 922 year: 2010 end-page: 938 ident: b19 article-title: Constrained consensus and optimization in multi-agent networks publication-title: IEEE Transactions on Automatic Control – volume: 47 start-page: 278 year: 2019 end-page: 305 ident: b29 article-title: A survey of distributed optimization publication-title: Annual Reviews in Control – volume: 59 start-page: 1524 year: 2014 end-page: 1538 ident: b2 article-title: Distributed constrained optimization by consensus-based primal–dual perturbation method publication-title: IEEE Transactions on Automatic Control – volume: 59 start-page: 781 year: 2013 end-page: 786 ident: b6 article-title: Distributed continuous-time convex optimization on weight-balanced digraphs publication-title: IEEE Transactions on Automatic Control – volume: 74 start-page: 183 year: 2016 end-page: 193 ident: b3 article-title: Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment publication-title: Automatica – volume: 51 start-page: 2529 year: 2019 end-page: 2539 ident: b11 article-title: Distributed dual subgradient algorithms with iterate-averaging feedback for convex optimization with coupled constraints publication-title: IEEE Transactions on Cybernetics – volume: 64 start-page: 5148 year: 2019 end-page: 5155 ident: b12 article-title: Distributed continuous-time and discrete-time optimization with nonuniform unbounded convex constraint sets and nonuniform stepsizes publication-title: IEEE Transactions on Automatic Control – volume: 65 start-page: 778 year: 2019 end-page: 785 ident: b14 article-title: Distributed event-triggered gradient method for constrained convex minimization publication-title: IEEE Transactions on Automatic Control – volume: 57 start-page: 517 year: 2014 end-page: 553 ident: b16 article-title: A class of distributed optimization methods with event-triggered communication publication-title: Computational Optimization and Applications – volume: 66 start-page: 1223 year: 2020 end-page: 1230 ident: b8 article-title: Distributed proximal algorithms for multiagent optimization with coupled inequality constraints publication-title: IEEE Transactions on Automatic Control – volume: 56 start-page: 3973 year: 2018 end-page: 3993 ident: b31 article-title: Distributed continuous-time algorithms for nonsmooth extended monotropic optimization problems publication-title: SIAM Journal on Control and Optimization – volume: 66 start-page: 2961 year: 2020 end-page: 2974 ident: b13 article-title: Resource-aware exact decentralized optimization using event-triggered broadcasting publication-title: IEEE Transactions on Automatic Control – start-page: 1458 year: 2011 end-page: 1466 ident: b23 article-title: Convergence rates of inexact proximal-gradient methods for convex optimization publication-title: Advances in Neural Information Processing Systems – volume: 30 start-page: 3230 year: 2020 end-page: 3251 ident: b17 article-title: Convergence rate of publication-title: SIAM Journal on Optimization – volume: 19 start-page: 1757 year: 2009 end-page: 1780 ident: b18 article-title: Approximate primal solutions and rate analysis for dual subgradient methods publication-title: SIAM Journal on Optimization – volume: 27 start-page: 1459 year: 2017 end-page: 1484 ident: b26 article-title: Accelerated first-order primal–dual proximal methods for linearly constrained composite convex programming publication-title: SIAM Journal on Optimization – volume: 106 start-page: 1089 year: 2018 end-page: 1114 ident: b1 article-title: Collaborative sensor network localization: Algorithms and practical issues publication-title: Proceedings of the IEEE – volume: 63 start-page: 2248 year: 2018 end-page: 2255 ident: b7 article-title: Distributed subgradient method with edge-based event-triggered communication publication-title: IEEE Transactions on Automatic Control – year: 1987 ident: b21 article-title: Introduction to optimization – volume: 48 start-page: 1908 year: 2017 end-page: 1919 ident: b9 article-title: Event-triggered communication and data rate constraint for distributed optimization of multiagent systems publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – year: 2022 ident: b25 article-title: Distributed optimization with coupling constraints publication-title: IEEE Transactions on Automatic Control – volume: 7 start-page: 483 year: 2019 end-page: 492 ident: b20 article-title: Constraint-coupled distributed optimization: a relaxation and duality approach publication-title: IEEE Transactions on Control of Network Systems – volume: 74 start-page: 259 year: 2016 end-page: 269 ident: b30 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems publication-title: Automatica – volume: 5 start-page: 1245 year: 2017 end-page: 1260 ident: b22 article-title: Harnessing smoothness to accelerate distributed optimization publication-title: IEEE Transactions on Control of Network Systems – volume: 117 year: 2020 ident: b5 article-title: Tracking-ADMM for distributed constraint-coupled optimization publication-title: Automatica – volume: 84 start-page: 149 year: 2017 end-page: 158 ident: b4 article-title: Dual decomposition for multi-agent distributed optimization with coupling constraints publication-title: Automatica – volume: 168 start-page: 172 year: 2016 end-page: 197 ident: b24 article-title: Primal recovery from consensus-based dual decomposition for distributed convex optimization publication-title: Journal of Optimization Theory and Applications – volume: 65 start-page: 347 year: 2019 end-page: 353 ident: b10 article-title: Distributed smooth convex optimization with coupled constraints publication-title: IEEE Transactions on Automatic Control – volume: 106 start-page: 1089 issue: 6 year: 2018 ident: 10.1016/j.automatica.2024.111877_b1 article-title: Collaborative sensor network localization: Algorithms and practical issues publication-title: Proceedings of the IEEE doi: 10.1109/JPROC.2018.2829439 – volume: 63 start-page: 3809 issue: 11 year: 2018 ident: 10.1016/j.automatica.2024.111877_b27 article-title: A Bregman splitting scheme for distributed optimization over networks publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2018.2805260 – volume: 84 start-page: 149 year: 2017 ident: 10.1016/j.automatica.2024.111877_b4 article-title: Dual decomposition for multi-agent distributed optimization with coupling constraints publication-title: Automatica doi: 10.1016/j.automatica.2017.07.003 – volume: 74 start-page: 259 year: 2016 ident: 10.1016/j.automatica.2024.111877_b30 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems publication-title: Automatica doi: 10.1016/j.automatica.2016.08.007 – volume: 47 start-page: 278 year: 2019 ident: 10.1016/j.automatica.2024.111877_b29 article-title: A survey of distributed optimization publication-title: Annual Reviews in Control doi: 10.1016/j.arcontrol.2019.05.006 – volume: 168 start-page: 172 issue: 1 year: 2016 ident: 10.1016/j.automatica.2024.111877_b24 article-title: Primal recovery from consensus-based dual decomposition for distributed convex optimization publication-title: Journal of Optimization Theory and Applications doi: 10.1007/s10957-015-0758-0 – start-page: 1458 year: 2011 ident: 10.1016/j.automatica.2024.111877_b23 article-title: Convergence rates of inexact proximal-gradient methods for convex optimization publication-title: Advances in Neural Information Processing Systems – volume: 65 start-page: 347 issue: 1 year: 2019 ident: 10.1016/j.automatica.2024.111877_b10 article-title: Distributed smooth convex optimization with coupled constraints publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2019.2912494 – volume: 19 start-page: 1757 issue: 4 year: 2009 ident: 10.1016/j.automatica.2024.111877_b18 article-title: Approximate primal solutions and rate analysis for dual subgradient methods publication-title: SIAM Journal on Optimization doi: 10.1137/070708111 – volume: 117 year: 2020 ident: 10.1016/j.automatica.2024.111877_b5 article-title: Tracking-ADMM for distributed constraint-coupled optimization publication-title: Automatica doi: 10.1016/j.automatica.2020.108962 – volume: 27 start-page: 1459 issue: 3 year: 2017 ident: 10.1016/j.automatica.2024.111877_b26 article-title: Accelerated first-order primal–dual proximal methods for linearly constrained composite convex programming publication-title: SIAM Journal on Optimization doi: 10.1137/16M1082305 – volume: 51 start-page: 2529 issue: 5 year: 2019 ident: 10.1016/j.automatica.2024.111877_b11 article-title: Distributed dual subgradient algorithms with iterate-averaging feedback for convex optimization with coupled constraints publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2019.2933003 – volume: 66 start-page: 1223 issue: 3 year: 2020 ident: 10.1016/j.automatica.2024.111877_b8 article-title: Distributed proximal algorithms for multiagent optimization with coupled inequality constraints publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2020.2989282 – volume: 62 start-page: 4259 issue: 8 year: 2017 ident: 10.1016/j.automatica.2024.111877_b15 article-title: Constrained consensus algorithms with fixed step size for distributed convex optimization over multiagent networks publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2017.2681200 – volume: 56 start-page: 3973 issue: 6 year: 2018 ident: 10.1016/j.automatica.2024.111877_b31 article-title: Distributed continuous-time algorithms for nonsmooth extended monotropic optimization problems publication-title: SIAM Journal on Control and Optimization doi: 10.1137/17M1118609 – volume: 57 start-page: 517 issue: 3 year: 2014 ident: 10.1016/j.automatica.2024.111877_b16 article-title: A class of distributed optimization methods with event-triggered communication publication-title: Computational Optimization and Applications doi: 10.1007/s10589-013-9609-9 – volume: 6 start-page: 1124 issue: 3 year: 2019 ident: 10.1016/j.automatica.2024.111877_b28 article-title: Distributed energy resource coordination over time-varying directed communication networks publication-title: IEEE Transactions on Control of Network Systems doi: 10.1109/TCNS.2019.2921284 – volume: 64 start-page: 5148 issue: 12 year: 2019 ident: 10.1016/j.automatica.2024.111877_b12 article-title: Distributed continuous-time and discrete-time optimization with nonuniform unbounded convex constraint sets and nonuniform stepsizes publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2019.2910946 – volume: 59 start-page: 781 issue: 3 year: 2013 ident: 10.1016/j.automatica.2024.111877_b6 article-title: Distributed continuous-time convex optimization on weight-balanced digraphs publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2013.2278132 – volume: 30 start-page: 3230 issue: 4 year: 2020 ident: 10.1016/j.automatica.2024.111877_b17 article-title: Convergence rate of O(1/k) for optimistic gradient and extragradient methods in smooth convex-concave saddle point problems publication-title: SIAM Journal on Optimization doi: 10.1137/19M127375X – volume: 5 start-page: 1245 issue: 3 year: 2017 ident: 10.1016/j.automatica.2024.111877_b22 article-title: Harnessing smoothness to accelerate distributed optimization publication-title: IEEE Transactions on Control of Network Systems doi: 10.1109/TCNS.2017.2698261 – year: 2022 ident: 10.1016/j.automatica.2024.111877_b25 article-title: Distributed optimization with coupling constraints publication-title: IEEE Transactions on Automatic Control – volume: 66 start-page: 2961 issue: 7 year: 2020 ident: 10.1016/j.automatica.2024.111877_b13 article-title: Resource-aware exact decentralized optimization using event-triggered broadcasting publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2020.3014316 – year: 1987 ident: 10.1016/j.automatica.2024.111877_b21 – volume: 74 start-page: 183 year: 2016 ident: 10.1016/j.automatica.2024.111877_b3 article-title: Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment publication-title: Automatica doi: 10.1016/j.automatica.2016.07.003 – volume: 63 start-page: 2248 issue: 7 year: 2018 ident: 10.1016/j.automatica.2024.111877_b7 article-title: Distributed subgradient method with edge-based event-triggered communication publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2018.2800760 – volume: 48 start-page: 1908 issue: 11 year: 2017 ident: 10.1016/j.automatica.2024.111877_b9 article-title: Event-triggered communication and data rate constraint for distributed optimization of multiagent systems publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems doi: 10.1109/TSMC.2017.2694323 – volume: 65 start-page: 778 issue: 2 year: 2019 ident: 10.1016/j.automatica.2024.111877_b14 article-title: Distributed event-triggered gradient method for constrained convex minimization publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2019.2916985 – volume: 55 start-page: 922 issue: 4 year: 2010 ident: 10.1016/j.automatica.2024.111877_b19 article-title: Constrained consensus and optimization in multi-agent networks publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2010.2041686 – volume: 59 start-page: 1524 issue: 6 year: 2014 ident: 10.1016/j.automatica.2024.111877_b2 article-title: Distributed constrained optimization by consensus-based primal–dual perturbation method publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2014.2308612 – volume: 7 start-page: 483 issue: 1 year: 2019 ident: 10.1016/j.automatica.2024.111877_b20 article-title: Constraint-coupled distributed optimization: a relaxation and duality approach publication-title: IEEE Transactions on Control of Network Systems doi: 10.1109/TCNS.2019.2925267 |
| SSID | ssj0004182 |
| Score | 2.4810593 |
| Snippet | This paper develops a distributed primal–dual algorithm via an event-triggered mechanism to solve a class of convex optimization problems subject to local set... |
| SourceID | crossref elsevier |
| SourceType | Index Database Publisher |
| StartPage | 111877 |
| SubjectTerms | Constant step-sizes Coupled constraints Distributed optimization Event-triggered communication |
| Title | Distributed event-triggered algorithm for convex optimization with coupled constraints |
| URI | https://dx.doi.org/10.1016/j.automatica.2024.111877 |
| Volume | 170 |
| WOSCitedRecordID | wos001302487600001&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 issn: 0005-1098 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0004182 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9wwELYo9NAeKuhDpRTkAzeUypt11rZ6QhQEFSAkKNr2EtmJs2S1ZFdLFm3_PTOxNwkPqa0qLlFi5TnzaTK2vvmGkO0osyxJWRpYo1jAuz0W6KiXBUwYZUyC__SqUPhYnJ7Kfl-d-XapN1U7AVEUcj5Xk2d1NYyBs7F09h_cXd8UBmAfnA5bcDts_8rx31AKF7tYQSpZyTMFcDgYYE_OHT0ajKd5eXVdsQsrxvl8ZwxR49qXYy6o6LPJyGK9G-rL6tzLPdVqtbNyXCm96kqsdO748apBiF-D_pnXy9LWjfQBjKO8xuP5zFWGtCB64s_8lf_W_qfq1yRC_oDfURfLNMwkF3xR9NQ1na6Dr2sb8iiQuzWFIdJ4_Bd9wQdhhJe-78t9mezzKhuFuyMptguzwBdkJRSRgmC9snu03__eVMt2pNOQ96_j-V2O9ff0855OWlqJyMUqeeNnEHTXeX6NLNniLXnd0pV8Ry5bGKAPMEBrDFDwG3UYoG0MUMQA9RigLQy8Jz8O9i_2DgPfQCNIwl63DDSziRQh5JiJtCqNdCeD-bESXQNROhUoRckTpq3hIuMRV5Yb1Umz0PbQlJCrfiDLxbiwHwm1kdFC6lQzjaXRcJBpyYxOMslDnul10llYKJ44nZR4QSAcxo1VY7Rq7Ky6Tr4uTBn7fM_lcTGg4I9Xf_qvqzfIqwa4n8lyOZ3ZTfIyuS3zm-mWh8wdTxeEOQ |
| 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=Distributed+event-triggered+algorithm+for+convex+optimization+with+coupled+constraints&rft.jtitle=Automatica+%28Oxford%29&rft.au=Huang%2C+Yi&rft.au=Zeng%2C+Xianlin&rft.au=Sun%2C+Jian&rft.au=Meng%2C+Ziyang&rft.date=2024-12-01&rft.pub=Elsevier+Ltd&rft.issn=0005-1098&rft.volume=170&rft_id=info:doi/10.1016%2Fj.automatica.2024.111877&rft.externalDocID=S0005109824003716 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0005-1098&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0005-1098&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0005-1098&client=summon |