Distributed Winner-Take-All in Dynamic Networks
This paper is concerned with the winner-take-all (WTA) problem on networks. We propose the first distributed protocol to address this problem dynamically. This protocol features strong nonlinearity. Theoretical analysis reveals that it contains invariant quantities, symmetric solutions, and multiple...
Saved in:
Published in | IEEE transactions on automatic control Vol. 62; no. 2; pp. 577 - 589 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | This paper is concerned with the winner-take-all (WTA) problem on networks. We propose the first distributed protocol to address this problem dynamically. This protocol features strong nonlinearity. Theoretical analysis reveals that it contains invariant quantities, symmetric solutions, and multiple equilibrium points. By leveraging these properties, this work proves the instability of its non-WTA solutions, and global convergence to the WTA solution via Lyapunov theory. Two simulations over networks with 10 and 200 nodes, respectively, are conducted. Simulation results have well verified the theoretical conclusions drawn in this paper. |
---|---|
AbstractList | This paper is concerned with the winner-take-all (WTA) problem on networks. We propose the first distributed protocol to address this problem dynamically. This protocol features strong nonlinearity. Theoretical analysis reveals that it contains invariant quantities, symmetric solutions, and multiple equilibrium points. By leveraging these properties, this work proves the instability of its non-WTA solutions, and global convergence to the WTA solution via Lyapunov theory. Two simulations over networks with 10 and 200 nodes, respectively, are conducted. Simulation results have well verified the theoretical conclusions drawn in this paper. |
Author | Zhou, MengChu Li, Shuai Luo, Xin You, Zhu-Hong |
Author_xml | – sequence: 1 givenname: Shuai surname: Li fullname: Li, Shuai email: shuaili@polyu.edu.hk organization: Department of Computing, Hong Kong Polytechnic University, Hung Hom, KL, Hong Kong – sequence: 2 givenname: MengChu surname: Zhou fullname: Zhou, MengChu email: zhou@njit.edu organization: Helen and John C. Hartmann Department of Electrical and Computer Engineering, Institute of Systems Engineering, Macau University of Science and Technology, New Jersey Institute of Technology, Macau, Newark, NJ, ChinaUSA – sequence: 3 givenname: Xin surname: Luo fullname: Luo, Xin email: luoxin21@cqu.edu.cn organization: Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China – sequence: 4 givenname: Zhu-Hong surname: You fullname: You, Zhu-Hong email: zhuhongyou@gmail.com organization: Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Science, Urumqi, China |
BookMark | eNp9kEtLAzEURoMo2Fb3gpuC62nzmDxmWVpfUHRTcRkyMzeQdpqpSYr035vS4sKFq8uFe77vcobo0vceELojeEIIrqar2XxCMRETyqUSJb9AA8K5Kiin7BINMCaqqKgS12gY4zqvoizJAE0XLqbg6n2CdvzpvIdQrMwGilnXjZ0fLw7ebF0zfoP03YdNvEFX1nQRbs9zhD6eHlfzl2L5_vw6ny2LhnGZCmpKKWQrLChSWWExLusWU1M1XEGFMYAR-U3WcNbaVirDS1YbanHb1sQSy0bo4ZS7C_3XHmLS634ffK7UJHMsZ1CZr_Dpqgl9jAGs3gW3NeGgCdZHLTpr0Uct-qwlI-IP0rhkkut9CsZ1_4H3J9ABwG-PLJXEQrEfdF5v7g |
CODEN | IETAA9 |
CitedBy_id | crossref_primary_10_1109_TIE_2017_2674624 crossref_primary_10_1109_TII_2021_3138794 crossref_primary_10_1016_j_comnet_2020_107786 crossref_primary_10_1109_JAS_2022_105911 crossref_primary_10_3390_make5040067 crossref_primary_10_1109_TITS_2023_3311016 crossref_primary_10_1016_j_ins_2020_03_043 crossref_primary_10_1109_TASE_2021_3072339 crossref_primary_10_1016_j_neunet_2022_04_005 crossref_primary_10_1016_j_jfranklin_2020_04_032 crossref_primary_10_1109_TII_2017_2766528 crossref_primary_10_1109_TNNLS_2023_3281523 crossref_primary_10_1109_JAS_2020_1003012 crossref_primary_10_20965_jaciii_2019_p0838 crossref_primary_10_1016_j_neucom_2017_06_026 crossref_primary_10_1109_TSMC_2022_3189479 crossref_primary_10_1109_TNNLS_2020_3041364 crossref_primary_10_1177_1550147718756274 crossref_primary_10_1016_j_ins_2022_11_090 crossref_primary_10_1109_TSMC_2016_2627579 crossref_primary_10_1109_TCSS_2022_3163799 crossref_primary_10_1109_TSMC_2017_2703950 crossref_primary_10_1115_1_4039287 crossref_primary_10_3390_s24248182 crossref_primary_10_1109_TCYB_2023_3328716 crossref_primary_10_1109_TCYB_2020_2998152 crossref_primary_10_1109_TCYB_2022_3170236 crossref_primary_10_1007_s00521_022_07725_0 crossref_primary_10_3390_s19010074 crossref_primary_10_1109_ACCESS_2019_2938016 crossref_primary_10_1109_TCYB_2017_2685521 crossref_primary_10_1109_TNSE_2024_3443864 crossref_primary_10_1016_j_cam_2024_115884 crossref_primary_10_1016_j_neucom_2018_06_053 crossref_primary_10_1109_TNNLS_2019_2927249 crossref_primary_10_1109_TSMC_2024_3410693 crossref_primary_10_1109_TASE_2018_2795241 crossref_primary_10_1016_j_aej_2024_03_031 crossref_primary_10_1016_j_asoc_2019_105880 crossref_primary_10_1109_TII_2017_2717079 crossref_primary_10_1016_j_cnsns_2023_107382 crossref_primary_10_1038_s41598_024_81857_2 crossref_primary_10_1016_j_neucom_2019_11_039 crossref_primary_10_1109_TII_2018_2867169 crossref_primary_10_3390_math11051153 crossref_primary_10_1109_TNNLS_2021_3086500 crossref_primary_10_3390_app9040722 crossref_primary_10_1109_TNNLS_2024_3377433 crossref_primary_10_1016_j_neucom_2021_10_116 crossref_primary_10_1016_j_neucom_2020_10_035 crossref_primary_10_1109_ACCESS_2019_2949271 crossref_primary_10_1109_TSMC_2017_2692262 crossref_primary_10_1109_ACCESS_2020_2971020 crossref_primary_10_1007_s11063_019_10107_8 crossref_primary_10_1155_2018_4573631 crossref_primary_10_1109_TII_2018_2831225 crossref_primary_10_1016_j_neucom_2021_07_020 crossref_primary_10_1109_TSMC_2021_3094190 crossref_primary_10_1016_j_asoc_2019_01_002 crossref_primary_10_1109_JAS_2022_105527 crossref_primary_10_1016_j_matcom_2025_01_006 crossref_primary_10_1002_cpe_7997 crossref_primary_10_1016_j_neucom_2019_04_069 crossref_primary_10_1109_TFUZZ_2023_3339654 crossref_primary_10_1117_1_JEI_27_6_063035 crossref_primary_10_1109_TCYB_2022_3159367 crossref_primary_10_1016_j_automatica_2020_108868 crossref_primary_10_1109_TSG_2019_2927744 crossref_primary_10_1007_s00521_018_3924_0 crossref_primary_10_1109_TNNLS_2017_2672989 crossref_primary_10_1016_j_automatica_2018_11_001 crossref_primary_10_1109_TCYB_2020_3022653 crossref_primary_10_1007_s11063_022_10911_9 crossref_primary_10_1109_TFUZZ_2021_3115969 crossref_primary_10_1109_JAS_2022_105731 |
Cites_doi | 10.1007/BF00307854 10.1145/2538508 10.1016/0022-247X(78)90249-4 10.1109/TSP.2012.2211593 10.1109/TAC.2011.2174691 10.1109/CDC.2007.4434303 10.1109/CDC.2006.376762 10.1109/TCYB.2014.2309478 10.1109/JAS.2015.7032908 10.1016/j.neunet.2012.12.009 10.1162/089976600300014827 10.1287/mksc.4.2.110 10.1016/0893-6080(88)90021-4 10.1109/ICASSP.2015.7178730 10.1104/pp.106.086868 10.1016/0022-5193(78)90182-0 10.1109/CDC.2006.377436 10.3389/fncom.2014.00068 10.1371/journal.pcbi.1003511 10.1073/pnas.1403643111 10.1109/ICAT.2009.5348437 10.1109/TAC.2008.2006925 10.1162/neco.2009.07-08-829 10.1038/7286 10.1098/rsta.2009.0086 10.2139/ssrn.1744113 10.1137/0516030 10.1207/s15516709cog0901_7 10.1109/JAS.2015.7152658 10.1016/j.cnsns.2012.07.021 10.1109/TAC.2004.834113 10.1073/pnas.1204185109 10.1016/j.automatica.2013.11.031 10.1016/j.neuron.2008.09.034 10.1109/TNN.2006.881046 10.1109/CDC.2013.6760275 10.1016/j.tics.2013.08.006 10.1137/1.9780898719512 10.1515/9781400835133 10.1137/0513013 10.1137/090766188 10.1109/TRO.2008.921567 10.1016/j.neucom.2005.04.012 10.1016/j.automatica.2015.03.003 10.1016/j.automatica.2013.12.008 10.1016/S0925-2312(01)00580-X 10.1109/TNNLS.2012.2230451 10.1109/TCYB.2014.2365463 10.1103/PhysRevA.44.4633 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 |
DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 7TB 8FD FR3 JQ2 L7M L~C L~D |
DOI | 10.1109/TAC.2016.2578645 |
DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
DatabaseTitleList | Technology Research Database |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1558-2523 |
EndPage | 589 |
ExternalDocumentID | 10_1109_TAC_2016_2578645 7487068 |
Genre | orig-research |
GrantInformation_xml | – fundername: Young Scientist Foundation of Chongqing grantid: cstc2014kjrc-qnrc40005 – fundername: Fundo para o Desenvolvimento das Ciencias e da Tecnologia grantid: 119/2014/A3 – fundername: Departmental General Research Fund of Hong Kong Polytechnic University grantid: G.UA7L – fundername: National Natural Science Foundation of China grantid: 61401385 funderid: 10.13039/501100001809 – fundername: Pioneer Hundred Talents Program of CAS – fundername: Hong Kong Research Grants Council Early Career Scheme grantid: 25214015 – fundername: Fundamental Research Funds for the Central Universities grantid: 106112015CDJXY180005 |
GroupedDBID | -~X .DC 0R~ 29I 3EH 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK ACNCT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD F5P HZ~ H~9 IAAWW IBMZZ ICLAB IDIHD IFIPE IFJZH IPLJI JAVBF LAI M43 MS~ O9- OCL P2P RIA RIE RNS TAE TN5 VH1 VJK ~02 AAYOK AAYXX CITATION RIG 7SC 7SP 7TB 8FD FR3 JQ2 L7M L~C L~D |
ID | FETCH-LOGICAL-c357t-2a4767d6fe819f6f004bd02a9c58e900eea67863c53dfd78a543ba2f0ddb1f1f3 |
IEDL.DBID | RIE |
ISSN | 0018-9286 |
IngestDate | Mon Jun 30 10:23:08 EDT 2025 Tue Jul 01 03:36:03 EDT 2025 Thu Apr 24 23:07:30 EDT 2025 Wed Aug 27 06:31:23 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Language | English |
License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c357t-2a4767d6fe819f6f004bd02a9c58e900eea67863c53dfd78a543ba2f0ddb1f1f3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
PQID | 1863390027 |
PQPubID | 85475 |
PageCount | 13 |
ParticipantIDs | ieee_primary_7487068 crossref_primary_10_1109_TAC_2016_2578645 proquest_journals_1863390027 crossref_citationtrail_10_1109_TAC_2016_2578645 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-Feb. 2017-2-00 20170201 |
PublicationDateYYYYMMDD | 2017-02-01 |
PublicationDate_xml | – month: 02 year: 2017 text: 2017-Feb. |
PublicationDecade | 2010 |
PublicationPlace | New York |
PublicationPlace_xml | – name: New York |
PublicationTitle | IEEE transactions on automatic control |
PublicationTitleAbbrev | TAC |
PublicationYear | 2017 |
Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
References | ref13 ref12 ref15 ref14 lee (ref45) 1999; 2 ref53 li (ref52) 0 xiao (ref42) 0 ref55 ref11 ref54 ref10 grossberg (ref30) 2011; 30 ref17 ref16 ref19 ref18 feng (ref35) 2015; 1 ref51 ref50 ref46 ref47 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref37 ref36 ref31 ref33 ref32 zha (ref56) 2015; 2 ref2 ref39 ref38 ren (ref1) 0 khalil (ref48) 2002 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 li (ref34) 2013; 24 |
References_xml | – ident: ref20 doi: 10.1007/BF00307854 – ident: ref38 doi: 10.1145/2538508 – volume: 30 year: 2011 ident: ref30 publication-title: Neural Dynamics of Adaptive Sensory-Motor Control Ballistic Eye Movements – ident: ref27 doi: 10.1016/0022-247X(78)90249-4 – ident: ref51 doi: 10.1109/TSP.2012.2211593 – ident: ref7 doi: 10.1109/TAC.2011.2174691 – volume: 1 start-page: 1 year: 2015 ident: ref35 article-title: Properties and performance of imperfect dual neural network-based kWTA networks publication-title: IEEE Trans Neural Netw Learn Syst – ident: ref3 doi: 10.1109/CDC.2007.4434303 – ident: ref8 doi: 10.1109/CDC.2006.376762 – ident: ref55 doi: 10.1109/TCYB.2014.2309478 – start-page: 1859 year: 0 ident: ref1 article-title: A survey of consensus problems in multi-agent coordination publication-title: Proc Amer Control Conf 2005 – volume: 2 start-page: 65 year: 2015 ident: ref56 article-title: Dynamic multi-team antagonistic games model with incomplete information and its application to multi-UAV publication-title: IEEE/CAA Journal of Automatica Sinica doi: 10.1109/JAS.2015.7032908 – ident: ref33 doi: 10.1016/j.neunet.2012.12.009 – ident: ref17 doi: 10.1162/089976600300014827 – ident: ref10 doi: 10.1287/mksc.4.2.110 – ident: ref26 doi: 10.1016/0893-6080(88)90021-4 – ident: ref4 doi: 10.1109/ICASSP.2015.7178730 – ident: ref46 doi: 10.1104/pp.106.086868 – ident: ref29 doi: 10.1016/0022-5193(78)90182-0 – ident: ref44 doi: 10.1109/CDC.2006.377436 – ident: ref14 doi: 10.3389/fncom.2014.00068 – ident: ref16 doi: 10.1371/journal.pcbi.1003511 – ident: ref15 doi: 10.1073/pnas.1403643111 – ident: ref50 doi: 10.1109/ICAT.2009.5348437 – ident: ref6 doi: 10.1109/TAC.2008.2006925 – ident: ref24 doi: 10.1162/neco.2009.07-08-829 – volume: 2 start-page: 375 year: 1999 ident: ref45 article-title: Attention activates winner-take-all competition among visual filters publication-title: Nature Neurosci doi: 10.1038/7286 – year: 0 ident: ref52 article-title: An Affection based dynamic leader selection model for formation control in multi-robot systems publication-title: IEEE Trans Syst Man Cybern Syst – ident: ref19 doi: 10.1098/rsta.2009.0086 – ident: ref40 doi: 10.2139/ssrn.1744113 – ident: ref22 doi: 10.1137/0516030 – ident: ref28 doi: 10.1207/s15516709cog0901_7 – ident: ref53 doi: 10.1109/JAS.2015.7152658 – ident: ref36 doi: 10.1016/j.cnsns.2012.07.021 – ident: ref41 doi: 10.1109/TAC.2004.834113 – ident: ref13 doi: 10.1073/pnas.1204185109 – ident: ref39 doi: 10.1016/j.automatica.2013.11.031 – ident: ref25 doi: 10.1016/j.neuron.2008.09.034 – ident: ref43 doi: 10.1109/TSP.2012.2211593 – ident: ref32 doi: 10.1109/TNN.2006.881046 – ident: ref49 doi: 10.1109/CDC.2013.6760275 – ident: ref12 doi: 10.1016/j.tics.2013.08.006 – year: 2002 ident: ref48 publication-title: Nonlinear Systems – ident: ref47 doi: 10.1137/1.9780898719512 – ident: ref11 doi: 10.1515/9781400835133 – ident: ref21 doi: 10.1137/0513013 – ident: ref37 doi: 10.1137/090766188 – ident: ref5 doi: 10.1109/TRO.2008.921567 – ident: ref23 doi: 10.1016/j.neucom.2005.04.012 – ident: ref9 doi: 10.1016/j.automatica.2015.03.003 – ident: ref2 doi: 10.1016/j.automatica.2013.12.008 – ident: ref31 doi: 10.1016/S0925-2312(01)00580-X – volume: 24 start-page: 301 year: 2013 ident: ref34 article-title: Selective positive-negative feedback produces the winner-take-all competition in recurrent neural networks publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2012.2230451 – start-page: 63 year: 0 ident: ref42 article-title: A scheme for robust distributed sensor fusion based on average consensus publication-title: Proc Fourth Int Symp Inform Process Sensor Netw – ident: ref54 doi: 10.1109/TCYB.2014.2365463 – ident: ref18 doi: 10.1103/PhysRevA.44.4633 |
SSID | ssj0016441 |
Score | 2.546984 |
Snippet | This paper is concerned with the winner-take-all (WTA) problem on networks. We propose the first distributed protocol to address this problem dynamically. This... |
SourceID | proquest crossref ieee |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 577 |
SubjectTerms | Competitive control consensus Convergence cooperative control distributed control dynamic networks Heuristic algorithms Mathematical model Modeling Network topology networked control system Networks Protocols Stability Topology winner-take-all |
Title | Distributed Winner-Take-All in Dynamic Networks |
URI | https://ieeexplore.ieee.org/document/7487068 https://www.proquest.com/docview/1863390027 |
Volume | 62 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3LS8MwGP_YdtKDrylOp_TgRTB9JG3aHMfmGMJ22nC30rxANjpx3cW_3qTtylARb4UkkH6P_PLlewE8xFJgRjlDUiXEGCgBRQknHFFtRjLlJ1rbd8jpjE4W4csyWrbgqcmFUUqVwWfKtZ-lL19uxM4-lXlxaL1ySRvaxnCrcrUaj4HF9erUNQqMk8Yl6TNvPhjaGC7qWvGkNnHpAILKnio_DuISXcanMN3vqwoqWbm7grvi81vJxv9u_AxO6mumM6jk4hxaKr-A44Pig13wRrZmrm13paTzWrbgQvNspdBgvXbecmdU9ap3ZlWg-PYSFuPn-XCC6vYJSJAoLhDOwpjGkmplUF9TbdSBSx9nTESJYr6vVGaQihIREallnGRRSHiGtS8lD3SgyRV08k2ursERkc8p1qHgzBhgEeMsFoRLwQ0AYsGyHnh7iqairi1uW1ys09LG8FlqeJBaHqQ1D3rw2Kx4r-pq_DG3a0nazKup2YP-nmlprXjbNDA_RJg1tm9-X3ULR9gicxl43YdO8bFTd-ZeUfD7UqC-AKrPyGw |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwzV25TsMwGP7FMQADN6JQIAMMDGlTO3HigaFqQS1HpyLYgk-pakkRbYXgWXgV3g07SaMKEBsSW6TYUeLvz38fAMehFIgSTl2pImwMlBpxI465S7S5w5QXaW39kDcd0rr1L--D-zl4L2phlFJp8pmq2Ms0li-HYmJdZdXQt1G5KE-hvFKvL8ZAG521mwbNE4QuzruNlpvPEHAFDsKxi5gfklASrYzo00QbmuDSQ4yKIFLU85Rihl0TLAIstQwjFviYM6Q9KXlN1zQ2z52HRaNnBCirDitiFFaTyPi8YRkoKoKgHq126w2bNUYq9ocgtlRqRuilU1y-sf5Unl2swcf0JLI0ln5lMuYV8falSeR_Pap1WM0VaaeeUf4GzKlkE1Zm2ituQbVpuwLbgV5KOnfpkDG3y_rKrQ8GTi9xmq8Je-wJp5Olwo-24fZP3ngHFpJhonbBEYHHCdK-4NSYmAHlNBSYS8GNiEeCshJUpwjGIu-ebod4DOLUivJobDCPLeZxjnkJTosdT1nnkF_WblkIi3U5eiUoT4kkzlnLKK6ZD8LUuhP2ft51BEut7s11fN3uXO3DMrJ6SJpmXoaF8fNEHRgtaswPU2J24OGvSeITY1snaw |
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+Winner-Take-All+in+Dynamic+Networks&rft.jtitle=IEEE+transactions+on+automatic+control&rft.au=Li%2C+Shuai&rft.au=Zhou%2C+MengChu&rft.au=Luo%2C+Xin&rft.au=You%2C+Zhu-Hong&rft.date=2017-02-01&rft.issn=0018-9286&rft.eissn=1558-2523&rft.volume=62&rft.issue=2&rft.spage=577&rft.epage=589&rft_id=info:doi/10.1109%2FTAC.2016.2578645&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TAC_2016_2578645 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9286&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9286&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9286&client=summon |