Distributed Adaptive Event-Triggered Fault-Tolerant Consensus of Multiagent Systems With General Linear Dynamics

In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating stra...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on cybernetics Jg. 49; H. 3; S. 757 - 767
Hauptverfasser:	Ye, Dan, Chen, Meng-Meng, Yang, Hai-Jiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Actuator saturation Actuators Adaptive systems Computer simulation consensus Eigenvalues Eigenvalues and eigenfunctions event-trigger Fault tolerance Fault tolerant systems Laplace equations Linear systems Multi-agent systems Multiagent systems multiagent systems (MASs) multiplicative fault Protocols Time dependence Zeno-behavior
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating strategies, the computation of the minimum eigenvalue of Laplacian matrix is avoided. Second, some adaptive parameters are introduced in trigger function to improve the self-regulation ability of event-triggered mechanism. The new trigger threshold is both state-dependent and time-dependent, which is independent of the number of agents. Then sufficient conditions are derived to guarantee the leaderless and leader-following consensus. On the basis of this, the results are extended to the case of actuator saturation. It is proved the Zeno-behavior of considered event-triggered mechanism is avoided. At last, the effectiveness of the proposed methods are demonstrated by three simulation examples.
AbstractList	In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating strategies, the computation of the minimum eigenvalue of Laplacian matrix is avoided. Second, some adaptive parameters are introduced in trigger function to improve the self-regulation ability of event-triggered mechanism. The new trigger threshold is both state-dependent and time-dependent, which is independent of the number of agents. Then sufficient conditions are derived to guarantee the leaderless and leader-following consensus. On the basis of this, the results are extended to the case of actuator saturation. It is proved the Zeno-behavior of considered event-triggered mechanism is avoided. At last, the effectiveness of the proposed methods are demonstrated by three simulation examples.In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating strategies, the computation of the minimum eigenvalue of Laplacian matrix is avoided. Second, some adaptive parameters are introduced in trigger function to improve the self-regulation ability of event-triggered mechanism. The new trigger threshold is both state-dependent and time-dependent, which is independent of the number of agents. Then sufficient conditions are derived to guarantee the leaderless and leader-following consensus. On the basis of this, the results are extended to the case of actuator saturation. It is proved the Zeno-behavior of considered event-triggered mechanism is avoided. At last, the effectiveness of the proposed methods are demonstrated by three simulation examples. In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to deal with multiplicative fault, a distributed event-triggered consensus protocol is designed. Using distributed adaptive online updating strategies, the computation of the minimum eigenvalue of Laplacian matrix is avoided. Second, some adaptive parameters are introduced in trigger function to improve the self-regulation ability of event-triggered mechanism. The new trigger threshold is both state-dependent and time-dependent, which is independent of the number of agents. Then sufficient conditions are derived to guarantee the leaderless and leader-following consensus. On the basis of this, the results are extended to the case of actuator saturation. It is proved the Zeno-behavior of considered event-triggered mechanism is avoided. At last, the effectiveness of the proposed methods are demonstrated by three simulation examples.
Author	Yang, Hai-Jiao Ye, Dan Chen, Meng-Meng
Author_xml	– sequence: 1 givenname: Dan orcidid: 0000-0002-5725-8956 surname: Ye fullname: Ye, Dan email: yedan@ise.neu.edu.cn organization: College of Information Science and Engineering, Northeastern University, Shenyang, China – sequence: 2 givenname: Meng-Meng orcidid: 0000-0003-0436-7750 surname: Chen fullname: Chen, Meng-Meng organization: College of Information Science and Engineering, Northeastern University, Shenyang, China – sequence: 3 givenname: Hai-Jiao orcidid: 0000-0001-8002-507X surname: Yang fullname: Yang, Hai-Jiao organization: College of Information Science and Engineering, Northeastern University, Shenyang, China
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/29994571$$D View this record in MEDLINE/PubMed
BookMark	eNp9kctu1DAYhS1UREvpAyAkZIkNmwy-JL4sy_SGNIgFgxAry0l-D64SZ7CdSvP2eDTTLrqoN76c7xzZPm_RSZgCIPSekgWlRH9ZL_98XTBC5YJJxSSnr9AZo0JVjMnm5Gkt5Cm6SOmelKHKkVZv0CnTWteNpGdoe-VTjr6dM_T4srfb7B8AXz9AyNU6-s0GYhFu7DyU_TRAtCHj5RQShDQnPDn8vUjebooB_9ylDGPCv33-i28hFHrAKx_ARny1C3b0XXqHXjs7JLg4zufo1831enlXrX7cflterqqO1zpXjta1AyeACxCyU4RLaBS31LWEUrd_Me0tIwoa3bUNAdWKXvau5tC0QjT8HH0-5G7j9G-GlM3oUwfDYANMczKMCMW50poV9NMz9H6aYyi3M4yqEqYpF4X6eKTmdoTebKMfbdyZx78sgDwAXZxSiuBM57PNfgo5Wj8YSsy-OLMvzuyLM8fiipM-cz6Gv-T5cPB4AHjii8Yayvl_dcujMg
CODEN	ITCEB8
CitedBy_id	crossref_primary_10_1109_TII_2019_2945004 crossref_primary_10_1080_00207179_2021_1908599 crossref_primary_10_1109_TCSI_2021_3060789 crossref_primary_10_1080_00207721_2023_2210131 crossref_primary_10_1109_TNSE_2021_3107935 crossref_primary_10_1016_j_amc_2022_127250 crossref_primary_10_1002_rnc_6591 crossref_primary_10_1016_j_jfranklin_2020_08_043 crossref_primary_10_1109_ACCESS_2019_2961745 crossref_primary_10_1016_j_neucom_2019_06_069 crossref_primary_10_1007_s12555_021_1007_y crossref_primary_10_1016_j_amc_2022_127127 crossref_primary_10_1109_TCYB_2021_3052467 crossref_primary_10_1049_cth2_12298 crossref_primary_10_1016_j_neucom_2024_128381 crossref_primary_10_1016_j_neucom_2018_11_006 crossref_primary_10_1016_j_jfranklin_2023_10_017 crossref_primary_10_1109_ACCESS_2022_3187743 crossref_primary_10_1002_rnc_5249 crossref_primary_10_1109_TCYB_2019_2925123 crossref_primary_10_1007_s11071_022_07627_9 crossref_primary_10_1016_j_jfranklin_2020_12_033 crossref_primary_10_1016_j_jfranklin_2022_12_033 crossref_primary_10_1016_j_ifacol_2022_11_322 crossref_primary_10_1016_j_jfranklin_2019_12_035 crossref_primary_10_1109_TII_2021_3111219 crossref_primary_10_1016_j_jfranklin_2019_12_036 crossref_primary_10_1109_TCYB_2022_3222459 crossref_primary_10_1109_ACCESS_2022_3222069 crossref_primary_10_1109_TCSII_2021_3092349 crossref_primary_10_1109_TCYB_2019_2916563 crossref_primary_10_1109_TCYB_2020_3023747 crossref_primary_10_1109_TCYB_2021_3133463 crossref_primary_10_1109_JAS_2020_1003596 crossref_primary_10_1109_ACCESS_2021_3089360 crossref_primary_10_1109_TSMC_2019_2963452 crossref_primary_10_1109_TCYB_2020_3022423 crossref_primary_10_1109_TCYB_2018_2868786 crossref_primary_10_3390_en17246277 crossref_primary_10_1016_j_ins_2019_08_067 crossref_primary_10_1109_TCYB_2020_2973303 crossref_primary_10_1016_j_jfranklin_2023_10_036 crossref_primary_10_1016_j_amc_2022_127165 crossref_primary_10_1109_TVT_2021_3050044 crossref_primary_10_1002_asjc_2851 crossref_primary_10_1109_TSMC_2022_3189092 crossref_primary_10_1109_TAC_2021_3069398 crossref_primary_10_1109_TCYB_2024_3404010 crossref_primary_10_1016_j_amc_2020_125181 crossref_primary_10_3390_pr9122127 crossref_primary_10_1109_TCNS_2020_2972601 crossref_primary_10_1177_01423312251334190 crossref_primary_10_1109_ACCESS_2021_3109009 crossref_primary_10_1016_j_ins_2022_01_060 crossref_primary_10_1109_TPDS_2024_3401164 crossref_primary_10_1109_TNSE_2020_3016167 crossref_primary_10_1109_TCNS_2025_3526569 crossref_primary_10_1016_j_amc_2019_124729 crossref_primary_10_1016_j_neucom_2019_07_093 crossref_primary_10_1109_TCSII_2023_3259483 crossref_primary_10_1109_TCYB_2019_2940296 crossref_primary_10_1016_j_ins_2022_12_007 crossref_primary_10_1016_j_jfranklin_2020_11_027 crossref_primary_10_1002_rnc_4800 crossref_primary_10_1109_TIE_2020_2967739 crossref_primary_10_1177_0142331220985945 crossref_primary_10_1007_s40815_019_00631_z crossref_primary_10_1109_TSIPN_2023_3264992 crossref_primary_10_1109_TSMC_2019_2960115 crossref_primary_10_1109_TFUZZ_2019_2903762 crossref_primary_10_1016_j_jfranklin_2022_03_025 crossref_primary_10_1080_23307706_2019_1693913 crossref_primary_10_1109_TASE_2025_3578045 crossref_primary_10_1049_cth2_12255 crossref_primary_10_1002_rnc_6798 crossref_primary_10_1016_j_oceaneng_2020_107882 crossref_primary_10_1080_00207721_2022_2056772 crossref_primary_10_1016_j_ins_2022_12_003 crossref_primary_10_1016_j_oceaneng_2022_113116 crossref_primary_10_1109_TCYB_2021_3132380 crossref_primary_10_1109_JAS_2021_1004132 crossref_primary_10_1109_TFUZZ_2020_3028657 crossref_primary_10_1109_TNNLS_2021_3053112 crossref_primary_10_1155_2018_8165383 crossref_primary_10_3390_act13010040 crossref_primary_10_1109_TCYB_2022_3169692 crossref_primary_10_1016_j_neucom_2019_03_059 crossref_primary_10_1016_j_neunet_2019_09_028 crossref_primary_10_1109_TCYB_2020_3026352 crossref_primary_10_1016_j_jfranklin_2024_107275 crossref_primary_10_1109_TCYB_2020_2979614 crossref_primary_10_1016_j_ins_2024_120854 crossref_primary_10_1016_j_jfranklin_2020_03_011 crossref_primary_10_1016_j_jfranklin_2024_107158 crossref_primary_10_3390_electronics10222736 crossref_primary_10_1002_rnc_5913 crossref_primary_10_1049_iet_cta_2018_5201 crossref_primary_10_1002_acs_3463 crossref_primary_10_1109_TNSE_2022_3213342 crossref_primary_10_1109_TCNS_2023_3338772 crossref_primary_10_1109_TASE_2024_3440493 crossref_primary_10_1016_j_jfranklin_2020_08_022 crossref_primary_10_1007_s11071_025_11423_6 crossref_primary_10_1080_00207721_2019_1616232 crossref_primary_10_1109_TNNLS_2021_3104987 crossref_primary_10_1002_asjc_2544 crossref_primary_10_1007_s00034_019_01305_9 crossref_primary_10_1109_TFUZZ_2020_3013960 crossref_primary_10_1080_00207721_2020_1716105 crossref_primary_10_1109_TSMC_2019_2938216 crossref_primary_10_1109_TNNLS_2020_2979174 crossref_primary_10_1109_JSYST_2021_3079460 crossref_primary_10_1109_TSMC_2023_3276060 crossref_primary_10_1007_s00034_019_01218_7 crossref_primary_10_1109_JSYST_2022_3183863 crossref_primary_10_1109_JAS_2021_1003820 crossref_primary_10_1002_rnc_7095 crossref_primary_10_1109_TCYB_2024_3487480 crossref_primary_10_1109_TCSII_2022_3144280 crossref_primary_10_1109_ACCESS_2022_3151155 crossref_primary_10_1016_j_jfranklin_2019_07_017 crossref_primary_10_1109_TFUZZ_2021_3078112 crossref_primary_10_1007_s12555_021_0029_1 crossref_primary_10_1109_COMST_2024_3361451 crossref_primary_10_1109_ACCESS_2022_3142320 crossref_primary_10_1016_j_jfranklin_2021_04_038 crossref_primary_10_1109_TNSE_2021_3064045 crossref_primary_10_1109_TSMC_2020_3010825 crossref_primary_10_1016_j_amc_2021_126166 crossref_primary_10_1109_TSMC_2022_3150931 crossref_primary_10_1109_TFUZZ_2022_3171685 crossref_primary_10_1002_rnc_7161 crossref_primary_10_1007_s12555_020_0906_7 crossref_primary_10_1109_TCSI_2021_3049347 crossref_primary_10_3390_s21124059 crossref_primary_10_1109_TSMC_2023_3238709 crossref_primary_10_1016_j_jfranklin_2019_06_034 crossref_primary_10_1049_iet_cta_2018_6268 crossref_primary_10_1002_rnc_5524 crossref_primary_10_1016_j_physa_2022_128138 crossref_primary_10_1016_j_jfranklin_2019_11_047 crossref_primary_10_1109_TFUZZ_2019_2940867 crossref_primary_10_1109_TMECH_2021_3075478 crossref_primary_10_1007_s11432_023_4182_6 crossref_primary_10_1109_TCYB_2019_2908874 crossref_primary_10_1016_j_amc_2020_125119 crossref_primary_10_1109_TCNS_2023_3336832 crossref_primary_10_1109_TNNLS_2021_3089596 crossref_primary_10_1109_TNSE_2023_3266281 crossref_primary_10_1007_s00034_025_03039_3 crossref_primary_10_1109_JSYST_2021_3123617 crossref_primary_10_1002_rnc_5533 crossref_primary_10_1109_COMST_2020_3023963 crossref_primary_10_1109_TCYB_2020_3005354 crossref_primary_10_1016_j_jfranklin_2020_05_002 crossref_primary_10_1109_ACCESS_2019_2914492 crossref_primary_10_1109_TCYB_2021_3059049 crossref_primary_10_1016_j_jfranklin_2023_08_031 crossref_primary_10_1109_ACCESS_2019_2935507 crossref_primary_10_1049_iet_cta_2019_1402 crossref_primary_10_1109_TCYB_2020_3009726 crossref_primary_10_3390_pr9091505 crossref_primary_10_1016_j_amc_2025_129690 crossref_primary_10_1016_j_jfranklin_2019_02_025 crossref_primary_10_1016_j_amc_2023_127909 crossref_primary_10_1016_j_neucom_2020_04_097 crossref_primary_10_1109_TCYB_2020_3027039 crossref_primary_10_1016_j_ins_2019_03_047 crossref_primary_10_1109_TSIPN_2023_3239686 crossref_primary_10_1109_TSMC_2019_2945063 crossref_primary_10_1016_j_isatra_2021_07_049 crossref_primary_10_1109_TNSE_2023_3281899 crossref_primary_10_1016_j_amc_2018_06_041 crossref_primary_10_3390_act12060255 crossref_primary_10_1109_TCYB_2019_2920093 crossref_primary_10_1109_TCYB_2019_2917006 crossref_primary_10_1016_j_jfranklin_2022_10_018 crossref_primary_10_1109_ACCESS_2020_2986032 crossref_primary_10_1016_j_jfranklin_2021_04_001 crossref_primary_10_1109_TSMC_2018_2882540 crossref_primary_10_1080_00207721_2019_1646347 crossref_primary_10_1109_TCSI_2019_2932084 crossref_primary_10_1016_j_cnsns_2019_105043 crossref_primary_10_1016_j_jprocont_2020_05_005 crossref_primary_10_1016_j_amc_2018_10_038 crossref_primary_10_1016_j_neucom_2019_09_088 crossref_primary_10_1109_TITS_2024_3431012 crossref_primary_10_1109_TSIPN_2018_2854669 crossref_primary_10_1016_j_amc_2023_128140 crossref_primary_10_1007_s12555_022_0501_1 crossref_primary_10_1007_s11424_022_1065_0 crossref_primary_10_1109_TAC_2020_3010769 crossref_primary_10_1109_TCYB_2021_3069955 crossref_primary_10_1109_TNNLS_2022_3176392 crossref_primary_10_1016_j_matcom_2024_05_015 crossref_primary_10_1109_TFUZZ_2023_3342282 crossref_primary_10_1049_iet_cta_2018_5492 crossref_primary_10_1109_TFUZZ_2020_2975495 crossref_primary_10_1109_TFUZZ_2021_3138646 crossref_primary_10_1109_TSMC_2019_2894750 crossref_primary_10_1109_TCYB_2019_2915124 crossref_primary_10_1109_TCNS_2023_3338260 crossref_primary_10_1007_s12555_018_0809_z crossref_primary_10_1002_acs_3175 crossref_primary_10_1109_JSYST_2021_3110501 crossref_primary_10_1109_TCYB_2019_2963681 crossref_primary_10_1109_TNSE_2024_3408421 crossref_primary_10_1109_TCYB_2021_3125332 crossref_primary_10_1109_TCYB_2022_3151653 crossref_primary_10_1016_j_oceaneng_2023_113809 crossref_primary_10_1007_s11431_022_2175_5 crossref_primary_10_1002_rnc_6144 crossref_primary_10_1109_TSMC_2019_2912812 crossref_primary_10_1002_rnc_6968 crossref_primary_10_1007_s11431_020_1686_5 crossref_primary_10_1109_JAS_2022_105419 crossref_primary_10_1109_TSMC_2019_2894663 crossref_primary_10_1016_j_amc_2019_124821 crossref_primary_10_1109_TAES_2022_3203374 crossref_primary_10_1016_j_automatica_2023_111400 crossref_primary_10_1002_oca_2620 crossref_primary_10_1016_j_ins_2020_08_007 crossref_primary_10_1177_01423312241301570 crossref_primary_10_1109_TCYB_2019_2954714 crossref_primary_10_1049_cth2_12318 crossref_primary_10_1080_23307706_2021_2007804 crossref_primary_10_3390_app13031716 crossref_primary_10_1016_j_amc_2020_125522 crossref_primary_10_1002_rnc_4554 crossref_primary_10_1109_TCNS_2020_3011837 crossref_primary_10_1016_j_amc_2018_12_069 crossref_primary_10_1109_TAC_2020_3043322 crossref_primary_10_1007_s00034_020_01570_z crossref_primary_10_1109_TNNLS_2021_3093700 crossref_primary_10_1049_iet_cta_2020_0055 crossref_primary_10_1002_rnc_6280 crossref_primary_10_1109_TCYB_2019_2901542 crossref_primary_10_1016_j_fss_2021_08_005 crossref_primary_10_1016_j_ins_2023_119276 crossref_primary_10_1016_j_ins_2023_119397 crossref_primary_10_3390_s24020339 crossref_primary_10_1109_TSMC_2020_3002960 crossref_primary_10_1016_j_jfranklin_2018_10_043 crossref_primary_10_1109_TSMC_2020_3042823
Cites_doi	10.1016/j.automatica.2012.11.010 10.1016/S0968-090X(98)00019-9 10.1109/TAC.2012.2235715 10.1016/j.automatica.2014.03.017 10.1002/rnc.3515 10.1080/00207170701506919 10.1109/TCYB.2014.2366204 10.1109/TCSI.2012.2226490 10.1016/j.fss.2014.12.015 10.1016/j.automatica.2013.04.021 10.1109/TCYB.2014.2354421 10.1109/TAC.2003.812781 10.1109/TAC.2014.2350391 10.1016/j.sysconle.2013.11.010 10.1109/TIE.2016.2613929 10.1016/j.neucom.2017.10.008 10.1109/TAC.2005.846556 10.1109/TIE.2014.2367034 10.1016/j.automatica.2015.09.028 10.1109/ROBOT.2000.844042 10.1109/TAC.2014.2357131 10.1109/TAC.2009.2036293 10.1109/TCYB.2015.2514119 10.1109/TIE.2017.2701778 10.1016/j.automatica.2012.08.042 10.1016/j.ins.2015.06.005 10.1109/TCYB.2016.2612482 10.1002/rnc.3369 10.1049/iet-cta.2015.0790 10.1109/TII.2016.2607150 10.1109/TAC.2011.2174666 10.1109/TCSII.2015.2458036 10.1016/j.automatica.2014.08.024 10.1109/TAC.2007.904277 10.1109/TCYB.2015.2398892 10.1109/TCST.2009.2032921 10.1109/TCYB.2017.2771560 10.1080/00207179.2013.873952 10.1109/TCYB.2016.2536750 10.1049/iet-cta.2014.0700 10.1016/j.automatica.2013.11.023
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
DBID	97E RIA RIE AAYXX CITATION NPM 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8
DOI	10.1109/TCYB.2017.2782731
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE CrossRef PubMed Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic
DatabaseTitle	CrossRef PubMed Aerospace Database 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 ANTE: Abstracts in New Technology & Engineering Computer and Information Systems Abstracts Professional MEDLINE - Academic
DatabaseTitleList	MEDLINE - Academic Aerospace Database PubMed
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: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Sciences (General)
EISSN	2168-2275
EndPage	767
ExternalDocumentID	29994571 10_1109_TCYB_2017_2782731 8272513
Genre	orig-research Journal Article
GrantInformation_xml	– fundername: Fok Ying Tung Education Foundation grantid: 141060 funderid: 10.13039/501100010261 – fundername: Research Fund of State Key Laboratory of Synthetical Automation for Process Industries grantid: 2013ZCX01 – fundername: National Natural Science Foundation of China grantid: 61773097; 61621004 funderid: 10.13039/501100001809 – fundername: Liaoning BaiQianWan Talents Program grantid: 201517 – fundername: Fundamental Research Funds for the Central Universities grantid: N160402004
GroupedDBID	0R~ 4.4 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK AENEX AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD HZ~ IFIPE IPLJI JAVBF M43 O9- OCL PQQKQ RIA RIE RNS AAYXX CITATION NPM RIG 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8
ID	FETCH-LOGICAL-c349t-f144fef6e36e67c8037e583a1fb011f78271da208e59cb50e8b6d7df43e5b6653
IEDL.DBID	RIE
ISICitedReferencesCount	293
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000458655900003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2168-2267 2168-2275
IngestDate	Sun Sep 28 09:28:03 EDT 2025 Sun Nov 09 06:23:17 EST 2025 Thu Jan 02 23:01:59 EST 2025 Sat Nov 29 02:02:24 EST 2025 Tue Nov 18 21:37:44 EST 2025 Wed Aug 27 03:01:00 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c349t-f144fef6e36e67c8037e583a1fb011f78271da208e59cb50e8b6d7df43e5b6653
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0002-5725-8956 0000-0003-0436-7750 0000-0001-8002-507X
PMID	29994571
PQID	2186659136
PQPubID	85422
PageCount	11
ParticipantIDs	pubmed_primary_29994571 crossref_citationtrail_10_1109_TCYB_2017_2782731 ieee_primary_8272513 crossref_primary_10_1109_TCYB_2017_2782731 proquest_journals_2186659136 proquest_miscellaneous_2068338992
PublicationCentury	2000
PublicationDate	2019-03-01
PublicationDateYYYYMMDD	2019-03-01
PublicationDate_xml	– month: 03 year: 2019 text: 2019-03-01 day: 01
PublicationDecade	2010
PublicationPlace	United States
PublicationPlace_xml	– name: United States – name: Piscataway
PublicationTitle	IEEE transactions on cybernetics
PublicationTitleAbbrev	TCYB
PublicationTitleAlternate	IEEE Trans Cybern
PublicationYear	2019
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	ref35 ref13 ref34 ref12 ref37 ref15 ref36 ref14 ref30 ref33 ref11 ref32 ref10 ref2 ref1 ref17 noor (ref4) 1996 ref38 ref16 ref19 ref18 lin (ref41) 1998 ref46 ref24 ref45 ref23 ref26 ref25 ref20 ref42 fan (ref31) 2013; 49 ref44 slotine (ref40) 1991 ref21 ref43 ref28 zhao (ref22) 0 ref27 ref29 ref8 ref7 ref9 ref3 ref6 ref5 ioannou (ref39) 2012
References_xml	– year: 1998 ident: ref41 publication-title: Low Gain Feedback Lecture Notes in Control and Information Sciences – volume: 49 start-page: 671 year: 2013 ident: ref31 article-title: Distributed event-triggered control of multi-agent systems with combinational measurements publication-title: Automatica doi: 10.1016/j.automatica.2012.11.010 – ident: ref1 doi: 10.1016/S0968-090X(98)00019-9 – ident: ref8 doi: 10.1109/TAC.2012.2235715 – ident: ref18 doi: 10.1016/j.automatica.2014.03.017 – ident: ref44 doi: 10.1002/rnc.3515 – year: 0 ident: ref22 article-title: Event-triggered communication for leader-following consensus of second-order multi-agent systems publication-title: IEEE Trans Cybern – ident: ref17 doi: 10.1080/00207170701506919 – ident: ref36 doi: 10.1109/TCYB.2014.2366204 – ident: ref42 doi: 10.1109/TCSI.2012.2226490 – ident: ref20 doi: 10.1016/j.fss.2014.12.015 – year: 1996 ident: ref4 article-title: Unmanned aerial vehicles publication-title: Future Aeronautical And Space Systems – ident: ref10 doi: 10.1016/j.automatica.2013.04.021 – ident: ref13 doi: 10.1109/TCYB.2014.2354421 – ident: ref6 doi: 10.1109/TAC.2003.812781 – ident: ref9 doi: 10.1109/TAC.2014.2350391 – ident: ref43 doi: 10.1016/j.sysconle.2013.11.010 – ident: ref16 doi: 10.1109/TIE.2016.2613929 – ident: ref28 doi: 10.1016/j.neucom.2017.10.008 – ident: ref7 doi: 10.1109/TAC.2005.846556 – ident: ref35 doi: 10.1109/TIE.2014.2367034 – ident: ref14 doi: 10.1016/j.automatica.2015.09.028 – ident: ref3 doi: 10.1109/ROBOT.2000.844042 – ident: ref38 doi: 10.1109/TAC.2014.2357131 – ident: ref32 doi: 10.1109/TAC.2009.2036293 – ident: ref11 doi: 10.1109/TCYB.2015.2514119 – ident: ref5 doi: 10.1109/TIE.2017.2701778 – ident: ref23 doi: 10.1016/j.automatica.2012.08.042 – ident: ref2 doi: 10.1016/j.ins.2015.06.005 – ident: ref45 doi: 10.1109/TCYB.2016.2612482 – ident: ref33 doi: 10.1002/rnc.3369 – ident: ref37 doi: 10.1049/iet-cta.2015.0790 – year: 1991 ident: ref40 publication-title: Applied nonlinear control – ident: ref30 doi: 10.1109/TII.2016.2607150 – year: 2012 ident: ref39 publication-title: Robust Adaptive Control – ident: ref21 doi: 10.1109/TAC.2011.2174666 – ident: ref19 doi: 10.1109/TCSII.2015.2458036 – ident: ref25 doi: 10.1016/j.automatica.2014.08.024 – ident: ref15 doi: 10.1109/TAC.2007.904277 – ident: ref27 doi: 10.1109/TCYB.2015.2398892 – ident: ref34 doi: 10.1109/TCST.2009.2032921 – ident: ref29 doi: 10.1109/TCYB.2017.2771560 – ident: ref26 doi: 10.1080/00207179.2013.873952 – ident: ref12 doi: 10.1109/TCYB.2016.2536750 – ident: ref46 doi: 10.1049/iet-cta.2014.0700 – ident: ref24 doi: 10.1016/j.automatica.2013.11.023
SSID	ssj0000816898
Score	2.614069
Snippet	In this paper, the distributed adaptive event-triggered fault-tolerant consensus of general linear multiagent systems (MASs) is considered. First, in order to...
SourceID	proquest pubmed crossref ieee
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	757
SubjectTerms	Actuator saturation Actuators Adaptive systems Computer simulation consensus Eigenvalues Eigenvalues and eigenfunctions event-trigger Fault tolerance Fault tolerant systems Laplace equations Linear systems Multi-agent systems Multiagent systems multiagent systems (MASs) multiplicative fault Protocols Time dependence Zeno-behavior
Title	Distributed Adaptive Event-Triggered Fault-Tolerant Consensus of Multiagent Systems With General Linear Dynamics
URI	https://ieeexplore.ieee.org/document/8272513 https://www.ncbi.nlm.nih.gov/pubmed/29994571 https://www.proquest.com/docview/2186659136 https://www.proquest.com/docview/2068338992
Volume	49
WOSCitedRecordID	wos000458655900003&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: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 2168-2275 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816898 issn: 2168-2267 databaseCode: RIE dateStart: 20130101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB61FQcuQCmP0FIZiQMg0jpxbCfH0nbFqeKwiOUUOfEYKq2SVZPl93fseCMhARI3J_FLmbFnxp6ZD-CtEyREJBYpd4VOSaVuUlNkpMih0pnT0tCbADahb27K1ar6sgcf51gYRAzOZ3jmi-Eu3_bt1h-VnZe5JnEs9mFfazXFas3nKQFAIkDf5lRISavQ8RIz49X58vL7J-_Hpc9yEolaeIAY2oirQursN4kUIFb-rm0GqbN4_H_zfQKPonbJLiZ2OIQ97J7CYVy_A3sXk0y_P4LNlc-Y68Gu0LILazZ-22PX3vsxXZLF_sNjeLKF2a7puV9Tq25kHt3TQ2MMrHcshO4aH5nFYtpz9u12_MniGIysXFpF7GqCvB-ewdfF9fLycxrRF9JWFNWYOjK1HDqFQhHd2pILjbIUJnMN7QnO_8bMmpyXKKu2kRzLRlltXSFQNkpJ8RwOur7Dl8B41jRYmMo2WVNIVIb6pTbWWkkCtG0T4DsK1G1MTe4RMtZ1MFF4VXv61Z5-daRfAh_mJpspL8e_Kh954swVI10SONmRuY4rd6jzkAGwyoRK4M38mdacv0gxHfZbqsNVKXxiwjyBFxN7zH3vuOrVn8c8hoc0s2ryYjuBg_Fui6_hQftrvB3uTomxV-VpYOx7FV3yrA
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9QwDLfGQIIXYAxYYUCQeAC0bm3TJO3j2HYaYpx4OMR4qtImYZNO7Wnt8fdjp7lKSIDEW9rmS7UT24ntH8Abx1GICJvHictVjCp1Hes8RUXOSpU6JTS-8WATaj4vLi_LL1twMMXCWGu985k9pKK_yzdds6ajsqMiUyiO-S24TchZIVprOlHxEBIe_DbDQox6hQrXmGlSHi1Ovn8gTy51mKFQVJwgYnArLnOh0t9kkgdZ-bu-6eXO7MH_zfgh3A_6JTseGWIHtmz7CHbCCu7Z25Bm-t0urE4pZy7BXVnDjo1e0cbHzsj_MV6gzf6DUDzZTK-X-NwtsVU7MML3JHCMnnWO-eBdTbFZLCQ-Z9-uhysWxmBo5-I6Yqcj6H3_GL7OzhYn53HAX4gbnpdD7NDYctZJyyVSrikSrqwouE5djbuCo9-YGp0lhRVlU4vEFrU0yricW1FLKfgT2G671u4BS9K6trkuTZ3WubBSY7_YxhgjUIQ2TQTJhgJVE5KTE0bGsvJGSlJWRL-K6FcF-kXwfmqyGjNz_KvyLhFnqhjoEsH-hsxVWLt9lfkcgGXKZQSvp8-46ugqRbe2W2OdRBacUhNmETwd2WPqe8NVz_485iu4e774fFFdfJx_eg73cJbl6NO2D9vDzdq-gDvNz-G6v3np2fsXJDX1DQ
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+Adaptive+Event-Triggered+Fault-Tolerant+Consensus+of+Multiagent+Systems+With+General+Linear+Dynamics&rft.jtitle=IEEE+transactions+on+cybernetics&rft.au=Ye%2C+Dan&rft.au=Chen%2C+Meng-Meng&rft.au=Yang%2C+Hai-Jiao&rft.date=2019-03-01&rft.issn=2168-2275&rft.eissn=2168-2275&rft.volume=49&rft.issue=3&rft.spage=757&rft_id=info:doi/10.1109%2FTCYB.2017.2782731&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-2267&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-2267&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-2267&client=summon