Weighted H∞ consensus design for stochastic multi-agent systems subject to external disturbances and ADT switching topologies
This paper is devoted to weighted H ∞ consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching topologies and external disturbances via output feedback. By introducing a linear transformation, the closed-loop systems are changed into r...
Saved in:
| Published in | Nonlinear dynamics Vol. 96; no. 2; pp. 853 - 868 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.04.2019
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This paper is devoted to weighted
H
∞
consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching topologies and external disturbances via output feedback. By introducing a linear transformation, the closed-loop systems are changed into reduced-order systems and, at the same time, the issue of weighted
H
∞
consensus design is transformed into a weighted
H
∞
control problem. Then, Lyapunov conditions are established for the mean-square asymptotic stability and weighted
H
∞
disturbance attenuation of the reduced-order systems. Based on them, two sufficient conditions are derived for the existence of desired output-feedback control protocols through the feasible solution of a series of linear matrix inequalities. Finally, two numerical examples are given to illustrate the effectiveness of the proposed results. |
|---|---|
| AbstractList | This paper is devoted to weighted
H
∞
consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching topologies and external disturbances via output feedback. By introducing a linear transformation, the closed-loop systems are changed into reduced-order systems and, at the same time, the issue of weighted
H
∞
consensus design is transformed into a weighted
H
∞
control problem. Then, Lyapunov conditions are established for the mean-square asymptotic stability and weighted
H
∞
disturbance attenuation of the reduced-order systems. Based on them, two sufficient conditions are derived for the existence of desired output-feedback control protocols through the feasible solution of a series of linear matrix inequalities. Finally, two numerical examples are given to illustrate the effectiveness of the proposed results. This paper is devoted to weighted H∞ consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching topologies and external disturbances via output feedback. By introducing a linear transformation, the closed-loop systems are changed into reduced-order systems and, at the same time, the issue of weighted H∞ consensus design is transformed into a weighted H∞ control problem. Then, Lyapunov conditions are established for the mean-square asymptotic stability and weighted H∞ disturbance attenuation of the reduced-order systems. Based on them, two sufficient conditions are derived for the existence of desired output-feedback control protocols through the feasible solution of a series of linear matrix inequalities. Finally, two numerical examples are given to illustrate the effectiveness of the proposed results. |
| Author | Wang, Yang Zheng, Xiao Shen, Hao Zhou, Jianping Wang, Zhen |
| Author_xml | – sequence: 1 givenname: Jianping surname: Zhou fullname: Zhou, Jianping organization: School of Computer Science and Technology, Anhui University of Technology – sequence: 2 givenname: Yang surname: Wang fullname: Wang, Yang organization: School of Computer Science and Technology, Anhui University of Technology – sequence: 3 givenname: Xiao surname: Zheng fullname: Zheng, Xiao organization: School of Computer Science and Technology, Anhui University of Technology – sequence: 4 givenname: Zhen surname: Wang fullname: Wang, Zhen organization: College of Mathematics and Systems Science, Shandong University of Science and Technology – sequence: 5 givenname: Hao orcidid: 0000-0002-6801-5693 surname: Shen fullname: Shen, Hao email: haoshenwj10@163.com, haoshen@ahut.edu.cn organization: School of Electrical and Information Engineering, Anhui University of Technology |
| BookMark | eNp9kL1uFDEURi0UJDaBF6CyRD1wbc-PXUbhJ5EipQkineXx3Jn1atZefD2CVGl5Ch6OJ2HCIiFRpLrNOVefzik7iSkiY68FvBUA3TsSAjpRgTAV1Fq2lXnGNqLpVCVbc3fCNmBkXYGBuxfslGgHAEqC3rCHLximbcGBX_768ZP7FAkjLcQHpDBFPqbMqSS_dVSC5_tlLqFyE8bC6Z4K7onT0u_QF14Sx-8Fc3QzHwKVJfcueiTu4sDP399y-haK34Y4reghzWkKSC_Z89HNhK_-3jP2-eOH24vL6vrm09XF-XXllTClQtCd67RsWq-VRxhG0XgjXDeCAz2IUQqJfS3bERUYAX1b99B2taubtsehU2fszfHvIaevC1Kxu7Q8TiUrtdJ103RSrZQ-Uj4nooyj9aG4ElIs2YXZCrCPue0xt11z2z-5rVlV-Z96yGHv8v3TkjpKtMJxwvxv1RPWb4iWl_k |
| CitedBy_id | crossref_primary_10_1186_s13662_019_2017_4 crossref_primary_10_1049_cth2_12372 crossref_primary_10_1016_j_amc_2019_124800 crossref_primary_10_1088_1402_4896_ab4924 crossref_primary_10_1016_j_amc_2020_125397 crossref_primary_10_1109_TSMC_2023_3342905 crossref_primary_10_1016_j_cnsns_2020_105335 crossref_primary_10_1088_1674_1056_aba602 crossref_primary_10_1007_s12555_019_0263_6 crossref_primary_10_1177_01423312231152932 crossref_primary_10_1109_TCYB_2021_3100643 crossref_primary_10_1002_rnc_6353 crossref_primary_10_1016_j_amc_2020_125429 crossref_primary_10_1016_j_neucom_2019_03_041 crossref_primary_10_1016_j_amc_2020_125508 crossref_primary_10_1155_2022_6900904 crossref_primary_10_1016_j_nahs_2021_101143 crossref_primary_10_1016_j_sysconle_2022_105436 crossref_primary_10_1002_acs_3251 crossref_primary_10_1016_j_amc_2019_124990 crossref_primary_10_1016_j_amc_2020_125875 crossref_primary_10_1016_j_amc_2020_125713 crossref_primary_10_1142_S0217984919503433 crossref_primary_10_1007_s11071_023_09175_2 crossref_primary_10_1142_S0217979221501770 crossref_primary_10_1016_j_amc_2019_02_028 crossref_primary_10_1155_2022_2650632 crossref_primary_10_1016_j_jfranklin_2021_04_013 crossref_primary_10_1016_j_neucom_2024_127515 crossref_primary_10_3389_fpls_2022_949857 crossref_primary_10_1016_j_amc_2020_125520 crossref_primary_10_3934_mbe_2022353 crossref_primary_10_1016_j_cnsns_2025_108719 crossref_primary_10_1016_j_amc_2020_125527 crossref_primary_10_1109_ACCESS_2020_2996687 crossref_primary_10_1109_ACCESS_2021_3056049 crossref_primary_10_1016_j_matcom_2021_01_014 crossref_primary_10_1142_S0217984921501682 crossref_primary_10_1007_s11071_020_05773_6 crossref_primary_10_1007_s12555_019_1005_5 crossref_primary_10_1016_j_jfranklin_2019_08_003 crossref_primary_10_1109_ACCESS_2020_3009129 crossref_primary_10_1016_j_neucom_2022_04_060 crossref_primary_10_1155_2022_4105546 crossref_primary_10_1002_oca_2731 crossref_primary_10_1016_j_isatra_2021_06_013 crossref_primary_10_1016_j_jfranklin_2020_03_031 crossref_primary_10_1109_ACCESS_2020_2998531 crossref_primary_10_3389_fphy_2023_1231313 crossref_primary_10_1088_1572_9494_ab5452 crossref_primary_10_1109_TSMC_2023_3321047 crossref_primary_10_1016_j_jfranklin_2022_08_050 crossref_primary_10_1063_5_0214485 crossref_primary_10_1016_j_amc_2019_124968 crossref_primary_10_1063_1_5116230 crossref_primary_10_1016_j_ins_2019_08_078 crossref_primary_10_1016_j_jfranklin_2024_106883 |
| Cites_doi | 10.1016/j.jfranklin.2018.07.030 10.1007/978-1-84800-015-5 10.1002/rnc.1615 10.1109/TSMC.2018.2828123 10.1177/0142331217749696 10.1016/j.amc.2016.06.024 10.1016/j.ins.2012.10.009 10.1007/s11071-018-4286-y 10.1016/j.nahs.2018.07.004 10.1080/00207170902948035 10.1016/j.sysconle.2008.01.002 10.1016/j.amc.2017.12.020 10.1016/j.cnsns.2014.12.004 10.1109/37.793443 10.1109/TAC.2013.2289706 10.4018/978-1-60566-226-8 10.1016/j.jfranklin.2018.06.030 10.1016/j.isatra.2017.01.001 10.1016/S0016-0032(99)00035-6 10.1016/j.automatica.2017.12.053 10.1080/00207179.2015.1075175 10.1016/j.nahs.2017.12.001 10.1016/0167-6911(88)90034-5 10.1109/TCSI.2012.2206453 10.1109/TSMC.2018.2854770 10.1007/s11071-014-1483-1 10.1109/MCS.2014.2350571 10.1080/00207170903267039 10.1016/j.neucom.2014.10.050 10.1016/j.ins.2018.06.044 10.1109/TIE.2015.2504043 10.1109/TAC.2014.2358071 10.1109/TAC.2018.2872195 10.1016/j.neucom.2014.02.043 10.1002/rnc.3534 10.1016/j.neucom.2016.05.052 10.1109/TFUZZ.2017.2788891 10.1002/rnc.3474 10.1007/s00521-017-2975-y 10.1016/j.cnsns.2009.08.009 10.1109/TAC.2002.805670 10.1109/TSMC.2018.2835442 10.1109/TSMC.2016.2564929 10.1109/TAC.2016.2604324 |
| ContentType | Journal Article |
| Copyright | Springer Nature B.V. 2019 Springer Nature B.V. 2019. |
| Copyright_xml | – notice: Springer Nature B.V. 2019 – notice: Springer Nature B.V. 2019. |
| DBID | AAYXX CITATION 8FE 8FG ABJCF AFKRA BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.1007/s11071-019-04826-9 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central UK/Ireland ProQuest Central Technology Collection ProQuest One ProQuest Central Korea SciTech Premium Collection ProQuest Engineering Collection ProQuest Engineering Database ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering collection |
| DatabaseTitle | CrossRef Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest One Academic ProQuest Central (New) Engineering Collection ProQuest One Academic (New) |
| DatabaseTitleList | Engineering Database |
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences Engineering |
| EISSN | 1573-269X |
| EndPage | 868 |
| ExternalDocumentID | 10_1007_s11071_019_04826_9 |
| GroupedDBID | -5B -5G -BR -EM -~C -~X .86 .DC .VR 06D 0R~ 0VY 123 1N0 203 29N 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2~H 30V 4.4 406 408 409 40D 40E 5VS 67Z 6NX 8FE 8FG 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABWNU ABXPI ACAOD ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEFQL AEGAL AEGNC AEJHL AEJRE AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BDATZ BENPR BGLVJ BGNMA BSONS CCPQU CS3 CSCUP DDRTE DL5 DNIVK DPUIP EBLON EBS EIOEI EJD ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV L6V LAK LLZTM M4Y M7S MA- N9A NB0 NPVJJ NQJWS NU0 O93 O9G O9I O9J OAM P19 P2P P9T PF0 PT4 PT5 PTHSS QOK QOS R89 R9I RHV RNS ROL RPX RSV S16 S27 S3B SAP SDH SDM SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX VC2 W23 W48 WH7 WK8 YLTOR Z45 Z5O Z7R Z7S Z7X Z7Y Z7Z Z83 Z86 Z88 Z8M Z8N Z8R Z8S Z8T Z8W Z8Z Z92 ZMTXR _50 ~A9 ~EX -Y2 1SB 2.D 28- 2P1 2VQ 5QI AAPKM AARHV AAYTO AAYXX ABBRH ABDBE ABFSG ABQSL ABULA ACBXY ACSTC ADHKG AEBTG AEFIE AEKMD AEZWR AFDZB AFEXP AFFNX AFGCZ AFHIU AFOHR AGGDS AGQPQ AHPBZ AHWEU AIXLP AJBLW AMVHM ARCEE ATHPR AYFIA BBWZM CAG CITATION COF H13 KOW N2Q NDZJH O9- OVD PHGZM PHGZT R4E RNI RZC RZE RZK S1Z S26 S28 SCLPG SCV T16 TEORI UZXMN VFIZW ABRTQ DWQXO PKEHL PQEST PQGLB PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c319t-e087a78256c83ce0df15c91a7f0a08d1f212eb426fe30910b64b0674a456bed73 |
| IEDL.DBID | U2A |
| ISSN | 0924-090X |
| IngestDate | Fri Jul 25 11:10:02 EDT 2025 Tue Jul 01 01:52:01 EDT 2025 Thu Apr 24 23:00:19 EDT 2025 Fri Feb 21 02:32:57 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Stochastic disturbance Output-feedback control Multi-agent system Average dwell time Consensus |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c319t-e087a78256c83ce0df15c91a7f0a08d1f212eb426fe30910b64b0674a456bed73 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-6801-5693 |
| PQID | 2838455723 |
| PQPubID | 2043746 |
| PageCount | 16 |
| ParticipantIDs | proquest_journals_2838455723 crossref_citationtrail_10_1007_s11071_019_04826_9 crossref_primary_10_1007_s11071_019_04826_9 springer_journals_10_1007_s11071_019_04826_9 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20190401 2019-4-00 |
| PublicationDateYYYYMMDD | 2019-04-01 |
| PublicationDate_xml | – month: 4 year: 2019 text: 20190401 day: 1 |
| PublicationDecade | 2010 |
| PublicationPlace | Dordrecht |
| PublicationPlace_xml | – name: Dordrecht |
| PublicationSubtitle | An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems |
| PublicationTitle | Nonlinear dynamics |
| PublicationTitleAbbrev | Nonlinear Dyn |
| PublicationYear | 2019 |
| Publisher | Springer Netherlands Springer Nature B.V |
| Publisher_xml | – name: Springer Netherlands – name: Springer Nature B.V |
| References | YanZSangCFangMZhouJEnergy-to-peak consensus for multi-agent systems with stochastic disturbances and Markovian switching topologiesTrans. Inst. Meas. Control201840164358436810.1177/0142331217749696 LinPJiaYLiLDistributed robust H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control in directed networks of agents with time-delaySyst. Control Lett.2008578643653242883410.1016/j.sysconle.2008.01.0021140.93355 SavinoHJSantosCRSouzaFOPimentaLCOliveiraMPalharesRMConditions for consensus of multi-agent systems with time-delays and uncertain switching topologyIEEE Trans. Ind. Electron.20166321258126710.1109/TIE.2015.2504043 WangXYangGDistributed H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus tracking control for multi-agent networks with switching directed topologiesNeurocomputing201620769369910.1016/j.neucom.2016.05.052 AhnCKJungSTKangSKJooSCAdaptive H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} synchronization for uncertain chaotic systems with external disturbanceCommun. Nonlinear Sci. Numer. Simul.201015821682177259263010.1016/j.cnsns.2009.08.0091222.93079 LinPRenWFarrellJADistributed continuous-time optimization: nonuniform gradient gains, finite-time convergence, and convex constraint setIEEE Trans. Autom. Control201762522392253364144310.1109/TAC.2016.26043241366.90201 Hespanha, J.P., Morse, A.S.: Stability of switched systems with average dwell-time. In: Proceedings of the 38th IEEE Conference on Decision and Control. Phoenix, USA: IEEE, pp. 2655–2660 (1999) LianJMuCShiPAsynchronous H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} filtering for switched stochastic systems with time-varying delayInf. Sci.2013224200212300624010.1016/j.ins.2012.10.0091293.93268 MengDJiaYDuJConsensus seeking via iterative learning for multi-agent systems with switching topologies and communication time-delaysInt. J. Robust Nonlinear Control2016261737723790358470510.1002/rnc.35341351.93009 Lin, P., Ren, W., Yang, C., Gui, W.: Distributed optimization with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes. IEEE Trans. Autom. Control. https://doi.org/10.1109/TAC.2018.2872195 (2018) (in press) Toker, O., Özbay, H.: On the NP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{NP}}$$\end{document}-hardness of solving bilinear matrix inequalities and simultaneous stabilization with static output feedback. In: Proceedings of 1995 American Control Conference. Seattle, USA: IEEE, pp. 2525–2526 (1995) ZhouJParkJHMaQNon-fragile observer-based H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for stochastic time-delay systemsAppl. Math. Comput.20162916983353438607040365 MaTYuTCuiBAdaptive synchronization of multi-agent systems via variable impulsive controlJ. Franklin Inst.201835574907508385739710.1016/j.jfranklin.2018.07.0301398.93021 BazzanALCKluglFMulti-Agent Systems for Traffic and Transportation Engineering2009HersheyIGI-Global10.4018/978-1-60566-226-8 MaTZhangZCuiBVariable impulsive consensus of nonlinear multi-agent systemsNonlinear Anal. Hybrid Syst.201931118387281810.1016/j.nahs.2018.07.00407032467 ChangXYangGNew results on output feedback H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for linear discrete-time systemsIEEE Trans. Autom. Control201459513551359321422610.1109/TAC.2013.22897061360.93383 WangZShenLXiaJShenHWangJFinite-time non-fragile l2-l∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${l}_2-{l}_{\infty }$$\end{document} control for jumping stochastic systems subject to input constraints via an event-triggered mechanismJ. Franklin Inst.20183551463716389384972110.1016/j.jfranklin.2018.06.0301398.93107 CaoYLamJStochastic stabilizability and H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for discrete-time jump linear systems with time delayJ. Franklin Inst.1999336812631281174873510.1016/S0016-0032(99)00035-60967.93095 LiuYJiaYH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control of multi-agent systems with switching topology: a dynamic output feedback protocolInt. J. Control2010833527537264290210.1080/002071709032670391222.93065 Jiang, Y., Wang, H., Wang, S.: Distributed H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control for nonlinear multi-agent systems under switching topologies via relative output feedback. Neural Comput. Appl. (2017). https://doi.org/10.1007/s00521-017-2975-y(in press) WenGYuWXiaYYuXHuJDistributed tracking of nonlinear multiagent systems under directed switching topology: an observer-based protocolIEEE Trans. Syst. Man Cybern. Syst.201747586988110.1109/TSMC.2016.2564929 LiberzonDMorseASBasic problems in stability and design of switched systemsIEEE Control Syst.1999195597010.1109/37.7934431384.93064 SabooriIKhorasaniKH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus achievement of multi-agent systems with directed and switching topology networksIEEE Trans. Autom. Control2014591131043109327116710.1109/TAC.2014.23580711360.93228 Sakthivel, R., Ahn, C.K., Joby, M.: Fault-tolerant resilient control for fuzzy fractional order systems. IEEE Trans. Syst. Man Cybern. Syst.. https://doi.org/10.1109/TSMC.2018.2835442 (2018) (in press) JiaQTangWKConsensus of nonlinear agents in directed network with switching topology and communication delayIEEE Trans. Circuits Syst. I: Regular Papers2012591230153023300657610.1109/TCSI.2012.2206453 MaoXStochastic Differential Equations and Applications2007AmsterdamElsevier1138.60005 ChenKWangJZhangYLiuZSecond-order consensus of nonlinear multi-agent systems with restricted switching topology and time delayNonlinear Dyn.2014782881887326767610.1007/s11071-014-1483-11331.93084 ShenHLiFYanHKarimiHRLamHFinite-time event-triggered H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for T-S fuzzy Markov jump systemsIEEE Trans. Fuzzy Syst.20182653122313510.1109/TFUZZ.2017.2788891 BidramALewisFLDavoudiADistributed control systems for small-scale power networks: using multiagent cooperative control theoryIEEE Control Syst.20143465677328144810.1109/MCS.2014.2350571 YuanDHongYHoDWCJiangGOptimal distributed stochastic mirror descent for strongly convex optimizationAutomatica201890196203376439910.1016/j.automatica.2017.12.0531387.93190 ZhouJSangCLiXFangMWangZH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus for nonlinear stochastic multi-agent systems with time delayAppl. Math. Comput.201832541583759127 Li, X., Ahn, C.K., Lu, D., Guo, S.: Robust simultaneous fault estimation and nonfragile output feedback fault-tolerant control for Markovian jump systems. IEEE Trans. Syst. Man Cybern. Syst. https://doi.org/10.1109/TSMC.2018.2828123 (2018) (in press) ChenGLewisFLRobust consensus of multiple inertial agents with coupling delays and variable topologiesInt. J. Robust Nonlinear Control2011216666685280986510.1002/rnc.16151213.93009 MaTSynchronization of multi-agent stochastic impulsive perturbed chaotic delayed neural networks with switching topologyNeurocomputing20151511392140610.1016/j.neucom.2014.10.050 RenWBeardRWDistributed Consensus in Multi-Vehicle Coop A Bidram (4826_CR4) 2014; 34 K Chen (4826_CR19) 2014; 78 P Lin (4826_CR42) 2017; 62 Z Yu (4826_CR13) 2018; 28 4826_CR38 4826_CR39 ALC Bazzan (4826_CR3) 2009 HJ Savino (4826_CR9) 2016; 63 L Shi (4826_CR10) 2018; 463 X Wang (4826_CR25) 2016; 207 D Liberzon (4826_CR15) 1999; 19 S Xu (4826_CR37) 2002; 47 4826_CR6 D Yuan (4826_CR44) 2018; 90 Y Cao (4826_CR36) 1999; 336 T Ma (4826_CR7) 2015; 151 X Chang (4826_CR41) 2014; 59 T Chen (4826_CR5) 2018; 93 4826_CR26 P Lin (4826_CR27) 2008; 57 D Zhang (4826_CR14) 2017; 68 D Meng (4826_CR8) 2016; 26 W Ren (4826_CR1) 2008 G Chen (4826_CR18) 2011; 21 4826_CR2 CK Ahn (4826_CR22) 2010; 15 T Ma (4826_CR33) 2018; 355 J Zhou (4826_CR45) 2016; 89 4826_CR16 Y Gao (4826_CR17) 2009; 82 H Shen (4826_CR11) 2015; 24 Y Liu (4826_CR46) 2010; 83 J Lian (4826_CR35) 2013; 224 K Zhou (4826_CR30) 1988; 10 Z Yan (4826_CR12) 2018; 40 X Mao (4826_CR31) 2007 L Wu (4826_CR34) 2009; 40 4826_CR43 G Wen (4826_CR21) 2017; 47 H Shen (4826_CR48) 2018; 26 4826_CR49 T Ma (4826_CR32) 2019; 31 H Zhao (4826_CR47) 2014; 138 Z Wang (4826_CR40) 2018; 355 I Saboori (4826_CR23) 2014; 59 J Zhou (4826_CR28) 2018; 325 J Zhou (4826_CR29) 2016; 291 X Wang (4826_CR24) 2016; 26 Q Jia (4826_CR20) 2012; 59 |
| References_xml | – reference: WangXYangGDistributed H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus tracking control for multi-agent networks with switching directed topologiesNeurocomputing201620769369910.1016/j.neucom.2016.05.052 – reference: ZhaoHParkJHZhangYShenHDistributed output feedback consensus of discrete-time multi-agent systemsNeurocomputing2014138869110.1016/j.neucom.2014.02.043 – reference: AhnCKJungSTKangSKJooSCAdaptive H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} synchronization for uncertain chaotic systems with external disturbanceCommun. Nonlinear Sci. Numer. Simul.201015821682177259263010.1016/j.cnsns.2009.08.0091222.93079 – reference: ZhangDXuZWangQZhaoYLeader-follower H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus of linear multi-agent systems with aperiodic sampling and switching connected topologiesISA Trans.20176815015910.1016/j.isatra.2017.01.001 – reference: LiberzonDMorseASBasic problems in stability and design of switched systemsIEEE Control Syst.1999195597010.1109/37.7934431384.93064 – reference: ZhouKKhargonekarPPRobust stabilization of linear systems with norm-bounded time-varying uncertaintySyst. Control Lett.1988101172092080110.1016/0167-6911(88)90034-50634.93066 – reference: LinPRenWFarrellJADistributed continuous-time optimization: nonuniform gradient gains, finite-time convergence, and convex constraint setIEEE Trans. Autom. Control201762522392253364144310.1109/TAC.2016.26043241366.90201 – reference: ChenKWangJZhangYLiuZSecond-order consensus of nonlinear multi-agent systems with restricted switching topology and time delayNonlinear Dyn.2014782881887326767610.1007/s11071-014-1483-11331.93084 – reference: CaoYLamJStochastic stabilizability and H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for discrete-time jump linear systems with time delayJ. Franklin Inst.1999336812631281174873510.1016/S0016-0032(99)00035-60967.93095 – reference: MaoXStochastic Differential Equations and Applications2007AmsterdamElsevier1138.60005 – reference: RenWBeardRWDistributed Consensus in Multi-Vehicle Cooperative Control2008LondonSpringer10.1007/978-1-84800-015-51144.93002 – reference: ShiLShaoJCaoMXiaHAsynchronous group consensus for discrete-time heterogeneous multi-agent systems under dynamically changing interaction topologiesInf. Sci.2018463282293383672410.1016/j.ins.2018.06.044 – reference: ShenHLiFYanHKarimiHRLamHFinite-time event-triggered H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for T-S fuzzy Markov jump systemsIEEE Trans. Fuzzy Syst.20182653122313510.1109/TFUZZ.2017.2788891 – reference: LiuYJiaYH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control of multi-agent systems with switching topology: a dynamic output feedback protocolInt. J. Control2010833527537264290210.1080/002071709032670391222.93065 – reference: WenGYuWXiaYYuXHuJDistributed tracking of nonlinear multiagent systems under directed switching topology: an observer-based protocolIEEE Trans. Syst. Man Cybern. Syst.201747586988110.1109/TSMC.2016.2564929 – reference: Xia, J., Zhang, J., Sun, W., Zhang, B., Wang, Z.: Finite-time adaptive fuzzy control for nonlinear systems with full state constraints. IEEE Trans. Syst. Man Cybern. Syst.. https://doi.org/10.1109/TSMC.2018.2854770 (2018) (in press) – reference: Sakthivel, R., Ahn, C.K., Joby, M.: Fault-tolerant resilient control for fuzzy fractional order systems. IEEE Trans. Syst. Man Cybern. Syst.. https://doi.org/10.1109/TSMC.2018.2835442 (2018) (in press) – reference: Lin, P., Ren, W., Yang, C., Gui, W.: Distributed optimization with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes. IEEE Trans. Autom. Control. https://doi.org/10.1109/TAC.2018.2872195 (2018) (in press) – reference: MaTYuTCuiBAdaptive synchronization of multi-agent systems via variable impulsive controlJ. Franklin Inst.201835574907508385739710.1016/j.jfranklin.2018.07.0301398.93021 – reference: MaTSynchronization of multi-agent stochastic impulsive perturbed chaotic delayed neural networks with switching topologyNeurocomputing20151511392140610.1016/j.neucom.2014.10.050 – reference: MengDJiaYDuJConsensus seeking via iterative learning for multi-agent systems with switching topologies and communication time-delaysInt. J. Robust Nonlinear Control2016261737723790358470510.1002/rnc.35341351.93009 – reference: MaTZhangZCuiBVariable impulsive consensus of nonlinear multi-agent systemsNonlinear Anal. Hybrid Syst.201931118387281810.1016/j.nahs.2018.07.00407032467 – reference: ChenTShanJRamkumarGDistributed adaptive control for multiple under-actuated lagrangian systems under fixed or switching topologyNonlinear Dyn.20189331705171810.1007/s11071-018-4286-y1398.90028 – reference: Jiang, Y., Wang, H., Wang, S.: Distributed H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control for nonlinear multi-agent systems under switching topologies via relative output feedback. Neural Comput. Appl. (2017). https://doi.org/10.1007/s00521-017-2975-y(in press) – reference: YanZSangCFangMZhouJEnergy-to-peak consensus for multi-agent systems with stochastic disturbances and Markovian switching topologiesTrans. Inst. Meas. Control201840164358436810.1177/0142331217749696 – reference: SavinoHJSantosCRSouzaFOPimentaLCOliveiraMPalharesRMConditions for consensus of multi-agent systems with time-delays and uncertain switching topologyIEEE Trans. Ind. Electron.20166321258126710.1109/TIE.2015.2504043 – reference: YuZJiangHHuangDHuCConsensus of nonlinear multi-agent systems with directed switching graphs: a directed spanning tree based error system approachNonlinear Anal. Hybrid Syst.201828123140374497210.1016/j.nahs.2017.12.0011380.93029 – reference: JiaQTangWKConsensus of nonlinear agents in directed network with switching topology and communication delayIEEE Trans. Circuits Syst. I: Regular Papers2012591230153023300657610.1109/TCSI.2012.2206453 – reference: ChangXYangGNew results on output feedback H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for linear discrete-time systemsIEEE Trans. Autom. Control201459513551359321422610.1109/TAC.2013.22897061360.93383 – reference: BazzanALCKluglFMulti-Agent Systems for Traffic and Transportation Engineering2009HersheyIGI-Global10.4018/978-1-60566-226-8 – reference: LinPJiaYLiLDistributed robust H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control in directed networks of agents with time-delaySyst. Control Lett.2008578643653242883410.1016/j.sysconle.2008.01.0021140.93355 – reference: Olfati-Saber, R., Shamma, J.S.: Consensus filters for sensor networks and distributed sensor fusion. In: Proceedings of the 44th IEEE Conference on Decision and Control. Seville, Spain: IEEE, pp. 6698–6703 (2005) – reference: YuanDHongYHoDWCJiangGOptimal distributed stochastic mirror descent for strongly convex optimizationAutomatica201890196203376439910.1016/j.automatica.2017.12.0531387.93190 – reference: WuLHoDWLamJH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} model reduction for continuous-time switched stochastic hybrid systemsInt. J. Control200940121241125125911031287.93107 – reference: Toker, O., Özbay, H.: On the NP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{NP}}$$\end{document}-hardness of solving bilinear matrix inequalities and simultaneous stabilization with static output feedback. In: Proceedings of 1995 American Control Conference. Seattle, USA: IEEE, pp. 2525–2526 (1995) – reference: ZhouJSangCLiXFangMWangZH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus for nonlinear stochastic multi-agent systems with time delayAppl. Math. Comput.201832541583759127 – reference: ShenHParkJHWuZZhangZFinite-time H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} synchronization for complex networks with semi-Markov jump topologyCommun. Nonlinear Sci. Numer. Simul.2015241–34051331354310.1016/j.cnsns.2014.12.004 – reference: XuSChenTRobust H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for uncertain stochastic systems with state delayIEEE Trans. Autom. Control2002471220892094194773410.1109/TAC.2002.8056701364.93755 – reference: ChenGLewisFLRobust consensus of multiple inertial agents with coupling delays and variable topologiesInt. J. Robust Nonlinear Control2011216666685280986510.1002/rnc.16151213.93009 – reference: Hespanha, J.P., Morse, A.S.: Stability of switched systems with average dwell-time. In: Proceedings of the 38th IEEE Conference on Decision and Control. Phoenix, USA: IEEE, pp. 2655–2660 (1999) – reference: ZhouJParkJHMaQNon-fragile observer-based H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for stochastic time-delay systemsAppl. Math. Comput.20162916983353438607040365 – reference: BidramALewisFLDavoudiADistributed control systems for small-scale power networks: using multiagent cooperative control theoryIEEE Control Syst.20143465677328144810.1109/MCS.2014.2350571 – reference: LianJMuCShiPAsynchronous H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} filtering for switched stochastic systems with time-varying delayInf. Sci.2013224200212300624010.1016/j.ins.2012.10.0091293.93268 – reference: WangZShenLXiaJShenHWangJFinite-time non-fragile l2-l∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${l}_2-{l}_{\infty }$$\end{document} control for jumping stochastic systems subject to input constraints via an event-triggered mechanismJ. Franklin Inst.20183551463716389384972110.1016/j.jfranklin.2018.06.0301398.93107 – reference: SabooriIKhorasaniKH∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus achievement of multi-agent systems with directed and switching topology networksIEEE Trans. Autom. Control2014591131043109327116710.1109/TAC.2014.23580711360.93228 – reference: GaoYWangLXieGWuBConsensus of multi-agent systems based on sampled-data controlInt. J. Control2009821221932205257384410.1080/002071709029480351178.93091 – reference: ZhouJParkJHShenHNon-fragile reduced-order dynamic output feedback H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} control for switched systems with average dwell-time switchingInt. J. Control2016892281296343519910.1080/00207179.2015.10751751332.93115 – reference: Li, X., Ahn, C.K., Lu, D., Guo, S.: Robust simultaneous fault estimation and nonfragile output feedback fault-tolerant control for Markovian jump systems. IEEE Trans. Syst. Man Cybern. Syst. https://doi.org/10.1109/TSMC.2018.2828123 (2018) (in press) – reference: WangXYangGDistributed reliable H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{H}}_{\infty }$$\end{document} consensus control for a class of multi-agent systems under switching networks: a topology-based average dwell time approachInt. J. Robust Nonlinear Control2016261327672787352950710.1002/rnc.34741346.93042 – volume: 355 start-page: 7490 year: 2018 ident: 4826_CR33 publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2018.07.030 – volume-title: Distributed Consensus in Multi-Vehicle Cooperative Control year: 2008 ident: 4826_CR1 doi: 10.1007/978-1-84800-015-5 – ident: 4826_CR2 – volume: 21 start-page: 666 issue: 6 year: 2011 ident: 4826_CR18 publication-title: Int. J. Robust Nonlinear Control doi: 10.1002/rnc.1615 – ident: 4826_CR38 doi: 10.1109/TSMC.2018.2828123 – volume: 40 start-page: 4358 issue: 16 year: 2018 ident: 4826_CR12 publication-title: Trans. Inst. Meas. Control doi: 10.1177/0142331217749696 – volume: 291 start-page: 69 year: 2016 ident: 4826_CR29 publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2016.06.024 – volume: 224 start-page: 200 year: 2013 ident: 4826_CR35 publication-title: Inf. Sci. doi: 10.1016/j.ins.2012.10.009 – ident: 4826_CR26 – volume: 93 start-page: 1705 issue: 3 year: 2018 ident: 4826_CR5 publication-title: Nonlinear Dyn. doi: 10.1007/s11071-018-4286-y – volume: 31 start-page: 1 year: 2019 ident: 4826_CR32 publication-title: Nonlinear Anal. Hybrid Syst. doi: 10.1016/j.nahs.2018.07.004 – volume: 82 start-page: 2193 issue: 12 year: 2009 ident: 4826_CR17 publication-title: Int. J. Control doi: 10.1080/00207170902948035 – volume: 57 start-page: 643 issue: 8 year: 2008 ident: 4826_CR27 publication-title: Syst. Control Lett. doi: 10.1016/j.sysconle.2008.01.002 – volume: 325 start-page: 41 year: 2018 ident: 4826_CR28 publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2017.12.020 – volume: 24 start-page: 40 issue: 1–3 year: 2015 ident: 4826_CR11 publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2014.12.004 – volume: 19 start-page: 59 issue: 5 year: 1999 ident: 4826_CR15 publication-title: IEEE Control Syst. doi: 10.1109/37.793443 – volume: 59 start-page: 1355 issue: 5 year: 2014 ident: 4826_CR41 publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2013.2289706 – volume-title: Multi-Agent Systems for Traffic and Transportation Engineering year: 2009 ident: 4826_CR3 doi: 10.4018/978-1-60566-226-8 – volume: 40 start-page: 1241 issue: 12 year: 2009 ident: 4826_CR34 publication-title: Int. J. Control – volume: 355 start-page: 6371 issue: 14 year: 2018 ident: 4826_CR40 publication-title: J. Franklin Inst. doi: 10.1016/j.jfranklin.2018.06.030 – volume: 68 start-page: 150 year: 2017 ident: 4826_CR14 publication-title: ISA Trans. doi: 10.1016/j.isatra.2017.01.001 – volume: 336 start-page: 1263 issue: 8 year: 1999 ident: 4826_CR36 publication-title: J. Franklin Inst. doi: 10.1016/S0016-0032(99)00035-6 – volume: 90 start-page: 196 year: 2018 ident: 4826_CR44 publication-title: Automatica doi: 10.1016/j.automatica.2017.12.053 – volume: 89 start-page: 281 issue: 2 year: 2016 ident: 4826_CR45 publication-title: Int. J. Control doi: 10.1080/00207179.2015.1075175 – volume: 28 start-page: 123 year: 2018 ident: 4826_CR13 publication-title: Nonlinear Anal. Hybrid Syst. doi: 10.1016/j.nahs.2017.12.001 – volume: 10 start-page: 17 issue: 1 year: 1988 ident: 4826_CR30 publication-title: Syst. Control Lett. doi: 10.1016/0167-6911(88)90034-5 – volume: 59 start-page: 3015 issue: 12 year: 2012 ident: 4826_CR20 publication-title: IEEE Trans. Circuits Syst. I: Regular Papers doi: 10.1109/TCSI.2012.2206453 – ident: 4826_CR49 doi: 10.1109/TSMC.2018.2854770 – ident: 4826_CR16 – volume: 78 start-page: 881 issue: 2 year: 2014 ident: 4826_CR19 publication-title: Nonlinear Dyn. doi: 10.1007/s11071-014-1483-1 – volume: 34 start-page: 56 issue: 6 year: 2014 ident: 4826_CR4 publication-title: IEEE Control Syst. doi: 10.1109/MCS.2014.2350571 – volume-title: Stochastic Differential Equations and Applications year: 2007 ident: 4826_CR31 – volume: 83 start-page: 527 issue: 3 year: 2010 ident: 4826_CR46 publication-title: Int. J. Control doi: 10.1080/00207170903267039 – volume: 151 start-page: 1392 year: 2015 ident: 4826_CR7 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.10.050 – volume: 463 start-page: 282 year: 2018 ident: 4826_CR10 publication-title: Inf. Sci. doi: 10.1016/j.ins.2018.06.044 – volume: 63 start-page: 1258 issue: 2 year: 2016 ident: 4826_CR9 publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2015.2504043 – volume: 59 start-page: 3104 issue: 11 year: 2014 ident: 4826_CR23 publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2014.2358071 – ident: 4826_CR43 doi: 10.1109/TAC.2018.2872195 – volume: 138 start-page: 86 year: 2014 ident: 4826_CR47 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.02.043 – volume: 26 start-page: 3772 issue: 17 year: 2016 ident: 4826_CR8 publication-title: Int. J. Robust Nonlinear Control doi: 10.1002/rnc.3534 – volume: 207 start-page: 693 year: 2016 ident: 4826_CR25 publication-title: Neurocomputing doi: 10.1016/j.neucom.2016.05.052 – volume: 26 start-page: 3122 issue: 5 year: 2018 ident: 4826_CR48 publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2017.2788891 – volume: 26 start-page: 2767 issue: 13 year: 2016 ident: 4826_CR24 publication-title: Int. J. Robust Nonlinear Control doi: 10.1002/rnc.3474 – ident: 4826_CR6 doi: 10.1007/s00521-017-2975-y – volume: 15 start-page: 2168 issue: 8 year: 2010 ident: 4826_CR22 publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2009.08.009 – volume: 47 start-page: 2089 issue: 12 year: 2002 ident: 4826_CR37 publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2002.805670 – ident: 4826_CR39 doi: 10.1109/TSMC.2018.2835442 – volume: 47 start-page: 869 issue: 5 year: 2017 ident: 4826_CR21 publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2016.2564929 – volume: 62 start-page: 2239 issue: 5 year: 2017 ident: 4826_CR42 publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2016.2604324 |
| SSID | ssj0003208 |
| Score | 2.4710438 |
| Snippet | This paper is devoted to weighted
H
∞
consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching... This paper is devoted to weighted H∞ consensus design for continuous-time/discrete-time stochastic multi-agent systems with average dwell time (ADT) switching... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 853 |
| SubjectTerms | Automotive Engineering Classical Mechanics Closed loop systems Closed loops Control Control theory Discrete time systems Disturbances Dwell time Dynamical Systems Engineering Euclidean space Feedback control H-infinity control Linear matrix inequalities Linear transformations Mathematical analysis Mechanical Engineering Multiagent systems Original Paper Output feedback Protocol Switching Topology Vibration |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1JT9wwFH5qhws9lBaKmDJUPnADiyTO5hMaNo0qFSEEYm6RtwgklKE4I45c-yv4cfwSnh2HoZXKOY4Pftv3doBtwaTMCx3RWMqMprHhVLBE0jjRplaImIVyDc6_TvPJZfpzmk1DwM2GsspeJ3pFrWfKxcj30AyWaZYVCdu_-03d1iiXXQ0rND7CEqrgshzA0sHx6dn5qy5mid9JF6GX4SIS09A20zXPoefjXGmXHECQTfnfpmmBN_9JkXrLc_IFPgfISMYdjb_CB9OswkqAjyQIp12FT29mC67B45UPeuKJyfOfJ6Jc1XRj55ZoX7NBEKwSBH7qWrhJzcQXFlLhGq1IN93ZEjuXLkpD2hnph0UTjWwxv5eOVywRjSbjowtiH25aX5OJR_3OBXS_v8HlyfHF4YSGbQtUoRi21ERlIRAvZLkqmTKRruNM8VgUdSSiUsc1vrCRaNBrwxzIkHkq0dSlAiGYNLpg6zBoZo3ZAMJ16vKNuea5SFnOpawzXvOa5VKjhlFDiPuHrlQYRe42YtxWiyHKjjgVEqfyxKn4EHZe_7nrBnG8e3rU068KQmmrBQsNYben6eLz_2_7_v5tm7CcdGyE3DSCQXs_N1sIVVr5I_DjCwNp57E priority: 102 providerName: ProQuest |
| Title | Weighted H∞ consensus design for stochastic multi-agent systems subject to external disturbances and ADT switching topologies |
| URI | https://link.springer.com/article/10.1007/s11071-019-04826-9 https://www.proquest.com/docview/2838455723 |
| Volume | 96 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9NAEB41yQUOhQZQU0q0h95gJdvr1x4D5KFWjRBKRDhZ-7JAqtwq66jHXvsr-HH8EmY3dkOrgtSTDx7vwTO7883szDcAJ4JJmWY6oKGUCY1Dw6lgkaRhpE2pEDEL5Rqcz-fpbBmfrpJV0xRm22r39krSn9S7ZjeMVFzo65L5CIop70AvwdjdFXIto9Hd-csiP4cuwMjCZSFWTavM42vcd0c7jPngWtR7m8lL2G9gIhlt9XoAe6bqw4sGMpJmQ9o-PP-LT_AV3HzziU6UmP2-_UWUq5Su7MYS7es0CAJUgmBP_RCOnZn4YkIqXHMV2TI6W2I30mVmSH1JWoJootEUNmvp7MMSUWky-rwg9vpn7eswUdTPWcCQ-zUsJ-PFpxltJixQhVuvpibIM4EYIUlVzpQJdBkmiociKwMR5Dos0bEZiU68NMwBC5nGEt1bLBB2SaMz9ga61WVlDoFwHbs7xlTzVMQs5VKWCS95yVKp8VRRAwjbH12ohn7cTcG4KHbEyU45BSqn8Mop-ADe331ztSXf-K_0cau_otmItkD0lMdJkkVsAB9ane5e_3u1o6eJv4Vn0das0LqOoVuvN-YdwpVaDqGTT6ZD6I2m38_G-Pw4nn_5OvQ2-weImudI |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV07b9RAEB6FUEAKIAGUIyHZAipYYXv9uC0QikiOC3lUF3Gdsy8LJOQLWZ8iKlp-RX4CP4pfwszazgFS0qX2egvP55lv3gAvlNA6L2zEY60znsZOciUSzePEusogY1aGGpyPjvPxSfpxmk2X4FffC0Nllb1ODIrazgzFyN-gGRymWVYk4t3ZN05boyi72q_QaGFx4L5foMvm3-7vonxfJslob_J-zLutAtwg3BruomGh0C5muRkK4yJbxZmRsSqqSEVDG1eozJ1Gw1U5QcZU56lGlZ4qpBra2ULgvXfgbirQklNn-ujDleYXSdiAF6FPQ_GPadek07bqoZ9FjjulIpDSc_mvIVyw2_8SssHOjR7Bg46gsp0WUauw5Oo1eNiRVdapAr8GK39NMnwMPz6FECueGP_-eckM1WjXfu6ZDRUiDKkxQ5ppPiuaC81CGSNX1NbF2lnSnvm5ppgQa2asH03NLIJwfq4JmZ6p2rKd3QnzF1-aUAGKR8OGB3T2n8DJrUjhKSzXs9qtA5M2pexmbmWuUpFLratMVrISubaoz8wA4v5Dl6YbfE77N76Wi5HNJJwShVMG4ZRyAK-u3jlrx37ceHqzl1_ZqQBfLgA7gNe9TBePr7_t2c23bcO98eTosDzcPz7YgPtJCylE1iYsN-dz9xxJUqO3AjIZnN72r_AH19IijA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtRADLZKKyF6gFJAXVqKD3CCUfOfnQOHFctqS6Hi0BV7C_MrkFBadbKqOHHlKXiGPhNPgmeSdCkqlTj0mjhRFHvszx77G4BnIpWyKHXEYilzlsWGM5EmksWJNlYRYhbKDzi_Pyyms-ztPJ-vwHk_CxO63fstyXamwbM01c3eibZ7y8E3ylp8GuwL-wSQGe_aKg_MtzNK2tyr_TFp-HmSTN4cvZ6y7lwBpsjgGmaiYSkoMuaFGqbKRNrGueKxKG0koqGOLblzIyl0WZP6cCqLTJJTzwSBDWl0mdJ7b8Fa5qePaQXNktGF76crwfdTVuMrIPNuTOfqb74cCpf49q8t2RDpJhtwt4OoOGpt6j6smHoT7nVwFTtn4DZh_Q8uwwfw_WMospLE9NePn6h8l3btFg516BFBAsdIQFN9Fp4ZGkMjIxN-sAtbNmmHbiF9VQibY-zJqVGTGS5OpbdNh6LWOBofoTv70oQeUBINZzxQuv8QZjeihUewWh_XZguQ68zvbxaaFyJLCy6lzbnlNi2kJo-mBhD3P7pSHfW5P4Hja7UkbfbKqUg5VVBOxQfw4uKZk5b441rpnV5_VecEXEXIbZjleZmkA3jZ63R5-99ve_x_4k_h9ofxpHq3f3iwDXeS1sLI0HZgtTldmCeEmhq5GwwV4dNNr4zfFU8jxw |
| 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=Weighted+H%E2%88%9E+consensus+design+for+stochastic+multi-agent+systems+subject+to+external+disturbances+and+ADT+switching+topologies&rft.jtitle=Nonlinear+dynamics&rft.au=Zhou%2C+Jianping&rft.au=Wang%2C+Yang&rft.au=Zheng%2C+Xiao&rft.au=Wang%2C+Zhen&rft.date=2019-04-01&rft.pub=Springer+Netherlands&rft.issn=0924-090X&rft.eissn=1573-269X&rft.volume=96&rft.issue=2&rft.spage=853&rft.epage=868&rft_id=info:doi/10.1007%2Fs11071-019-04826-9&rft.externalDocID=10_1007_s11071_019_04826_9 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0924-090X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0924-090X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0924-090X&client=summon |