Discrete‐time dynamic event‐triggered H∞ control of uncertain neural networks subject to time delays and disturbances
The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the pr...
Saved in:
| Published in | Optimal control applications & methods Vol. 44; no. 4; pp. 1651 - 1670 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Glasgow
Wiley Subscription Services, Inc
01.07.2023
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the problem of event‐triggered H∞$$ {H}_{\infty } $$ control for the considered neural networks. By employing the Lyapunov–Krasovskii functional method, the Cauchy matrix inequality, and the Schur complement lemma, we derive a sufficient condition to guarantee the event‐triggered H∞$$ {H}_{\infty } $$ control problem is solved. This sufficient condition is formed in terms of linear matrix inequalities, which can be effectively solved by using the MATLAB LMI Control Toolbox. Two examples and simulations are provided to illustrate the efficiency of the proposed method. |
|---|---|
| AbstractList | The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the problem of event‐triggered H∞$$ {H}_{\infty } $$ control for the considered neural networks. By employing the Lyapunov–Krasovskii functional method, the Cauchy matrix inequality, and the Schur complement lemma, we derive a sufficient condition to guarantee the event‐triggered H∞$$ {H}_{\infty } $$ control problem is solved. This sufficient condition is formed in terms of linear matrix inequalities, which can be effectively solved by using the MATLAB LMI Control Toolbox. Two examples and simulations are provided to illustrate the efficiency of the proposed method. The event‐triggered control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method based on a novel discrete‐time dynamic event‐triggered mechanism and an event‐triggered control is proposed to solve the problem of event‐triggered control for the considered neural networks. By employing the Lyapunov–Krasovskii functional method, the Cauchy matrix inequality, and the Schur complement lemma, we derive a sufficient condition to guarantee the event‐triggered control problem is solved. This sufficient condition is formed in terms of linear matrix inequalities, which can be effectively solved by using the MATLAB LMI Control Toolbox. Two examples and simulations are provided to illustrate the efficiency of the proposed method. |
| Author | Huong, Dinh Cong |
| Author_xml | – sequence: 1 givenname: Dinh Cong orcidid: 0000-0003-2028-3784 surname: Huong fullname: Huong, Dinh Cong email: dinhconghuong@tdmu.edu.vn organization: Thu Dau Mot University |
| BookMark | eNp1kM1KAzEUhYMoWKvgIwTcuJma306zlPpTQXCj6yGT3Cmp00STjFLcuHTpE_hwPolT60p0deDynXPh20PbPnhA6JCSESWEnQSjR0wJuYUGlChVUEnFNhoQKnjByKTcRXspLQghJeVsgF7OXDIRMny-vme3BGxXXi-dwfAEPq-P0c3nEMHi2efbBzbB5xhaHBrceQMxa-exhy7qto_8HOJ9wqmrF2AyzgFvNqHVq4S1t9i6lLtY676b9tFOo9sEBz85RHcX57fTWXF9c3k1Pb0uDFNcFrJUZlwrpbltmtISQYzUnIlGTCjnNQGmjLBCSsqEIrYWYy21pLUpSztWteBDdLTZfYjhsYOUq0Xoou9fVmzCx2UvQ5U9dbyhTAwpRWiqh-iWOq4qSqq12qpXW63V9ujoF2pc1tmt3WjX_lUoNoVn18Lq3-HqZnr6zX8B8OmQQA |
| CitedBy_id | crossref_primary_10_1016_j_sigpro_2024_109443 crossref_primary_10_1007_s40313_024_01067_z crossref_primary_10_1016_j_amc_2023_128373 |
| Cites_doi | 10.1109/TSMC.2020.2964057 10.1109/TCYB.2018.2885567 10.1109/TIE.2016.2587238 10.1109/TNNLS.2018.2829149 10.1109/ASCC.2017.8287238 10.1007/978-1-4612-0039-0 10.1109/TFUZZ.2017.2788891 10.1007/s12555-017-0410-x 10.1109/ACCESS.2021.3113915 10.1007/s00521-017-2974-z 10.1109/TAC.2007.904277 10.1137/1.9781611970777 10.1007/s11063-012-9243-z 10.1002/mma.5380 10.1016/j.jfranklin.2017.12.036 10.1002/oca.2696 10.1016/j.neucom.2010.01.004 10.1109/ACC.2016.7525526 10.1093/imamci/dns035 10.1007/s11063-018-9895-4 10.1109/TAC.2016.2594204 10.1049/iet-cta.2012.0525 10.1109/TFUZZ.2020.3027336 10.1007/s00034-020-01399-6 10.1016/j.nahs.2019.05.003 10.1016/j.neucom.2020.07.036 10.1109/TCSI.2008.2003372 10.1007/s10440-020-00323-z 10.1016/j.ins.2018.04.055 10.1016/j.matcom.2020.12.001 10.1016/j.jfranklin.2018.06.030 10.1016/j.isatra.2017.10.009 10.1002/oca.2782 10.1016/j.neunet.2012.02.030 10.1109/TAC.2017.2700384 10.1109/TAC.2014.2366855 10.1109/TAC.2015.2508286 10.1016/j.automatica.2017.07.068 10.1093/imamci/dnu009 |
| ContentType | Journal Article |
| Copyright | 2022 John Wiley & Sons Ltd. 2023 John Wiley & Sons, Ltd. |
| Copyright_xml | – notice: 2022 John Wiley & Sons Ltd. – notice: 2023 John Wiley & Sons, Ltd. |
| DBID | AAYXX CITATION 7SP 8FD JQ2 L7M |
| DOI | 10.1002/oca.2945 |
| DatabaseName | CrossRef Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace |
| DatabaseTitle | CrossRef Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts ProQuest Computer Science Collection |
| DatabaseTitleList | Technology Research Database CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1099-1514 |
| EndPage | 1670 |
| ExternalDocumentID | 10_1002_oca_2945 OCA2945 |
| Genre | article |
| GrantInformation_xml | – fundername: None |
| GroupedDBID | -~X .3N .GA .Y3 05W 0R~ 10A 123 1L6 1OB 1OC 31~ 33P 3SF 3WU 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHQN AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIJN ABJNI ABPVW ACAHQ ACBWZ ACCZN ACGFS ACPOU ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN AEIGN AEIMD AENEX AEUQT AEUYR AFBPY AFFPM AFGKR AFPWT AFWVQ AFZJQ AHBTC AITYG AIURR AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CMOOK CS3 D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EBS EJD F00 F01 F04 FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HVGLF HZ~ I-F IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES M59 MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O9- OIG P2P P2W P2X P4D PALCI Q.N Q11 QB0 QRW R.K RIWAO RJQFR ROL RWI RX1 SAMSI SUPJJ TN5 TUS UB1 UCJ V2E W8V W99 WBKPD WH7 WIH WIK WLBEL WOHZO WQJ WRC WWI WXSBR WYISQ XG1 XPP XV2 ZZTAW ~IA ~WT AAYXX AEYWJ AGHNM AGQPQ AGYGG AMVHM CITATION 7SP 8FD AAMMB AEFGJ AGXDD AIDQK AIDYY JQ2 L7M |
| ID | FETCH-LOGICAL-c2935-579c6b99a3dff7d040c5a324f48133b0e29c4d45512490db46a5a51bc77d69b43 |
| IEDL.DBID | DR2 |
| ISSN | 0143-2087 |
| IngestDate | Sun Jul 13 03:57:55 EDT 2025 Thu Apr 24 23:05:05 EDT 2025 Tue Jul 01 02:51:46 EDT 2025 Wed Jan 22 16:19:45 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2935-579c6b99a3dff7d040c5a324f48133b0e29c4d45512490db46a5a51bc77d69b43 |
| Notes | Funding information None ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-2028-3784 |
| PQID | 2836700097 |
| PQPubID | 1036362 |
| PageCount | 20 |
| ParticipantIDs | proquest_journals_2836700097 crossref_primary_10_1002_oca_2945 crossref_citationtrail_10_1002_oca_2945 wiley_primary_10_1002_oca_2945_OCA2945 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | July/August 2023 2023-07-00 20230701 |
| PublicationDateYYYYMMDD | 2023-07-01 |
| PublicationDate_xml | – month: 07 year: 2023 text: July/August 2023 |
| PublicationDecade | 2020 |
| PublicationPlace | Glasgow |
| PublicationPlace_xml | – name: Glasgow |
| PublicationTitle | Optimal control applications & methods |
| PublicationYear | 2023 |
| Publisher | Wiley Subscription Services, Inc |
| Publisher_xml | – name: Wiley Subscription Services, Inc |
| References | 2021; 9 2017; 62 2017; 85 2020; 42 2019; 30 2019; 34 2015; 32 2019; 39 2021; 182 2003 2007; 52 2013; 7 2014; 60 2018; 42 2012; 32 2009; 56 2013; 37 2018; 457 2021 2020 2020; 50 2018; 355 2020; 170 2013; 30 2019; 49 2016; 63 2018; 30 2016; 61 1994; 15 2018; 72 2016; 26 2020; 417 2018; 16 2010; 73 e_1_2_9_30_1 e_1_2_9_31_1 e_1_2_9_11_1 e_1_2_9_34_1 e_1_2_9_10_1 e_1_2_9_35_1 e_1_2_9_13_1 e_1_2_9_32_1 e_1_2_9_12_1 e_1_2_9_33_1 e_1_2_9_15_1 e_1_2_9_38_1 e_1_2_9_14_1 e_1_2_9_39_1 e_1_2_9_17_1 e_1_2_9_36_1 e_1_2_9_16_1 e_1_2_9_37_1 e_1_2_9_19_1 e_1_2_9_18_1 e_1_2_9_20_1 e_1_2_9_40_1 e_1_2_9_22_1 e_1_2_9_21_1 e_1_2_9_24_1 e_1_2_9_23_1 e_1_2_9_8_1 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_5_1 e_1_2_9_4_1 e_1_2_9_3_1 e_1_2_9_2_1 e_1_2_9_9_1 e_1_2_9_26_1 e_1_2_9_25_1 e_1_2_9_28_1 e_1_2_9_27_1 e_1_2_9_29_1 |
| References_xml | – volume: 457 start-page: 113 year: 2018 end-page: 125 article-title: A survey on recent advances in event‐triggered communication and control publication-title: Inf Sci – volume: 56 start-page: 846 year: 2009 end-page: 857 article-title: Delay‐dependent and generalized filtering for delayed neural networks publication-title: IEEE Trans Circuits Syst I Regul Pap – volume: 49 start-page: 1649 year: 2019 end-page: 1680 article-title: Event triggered finite time boundedness of uncertain Markov jump neural networks with distributed time varying delays publication-title: Neural Process Lett – year: 2021 article-title: Optimal event‐triggered control for C‐T system with asymmetric constraints based on dual heuristic dynamic programing structure publication-title: Optim Control Appl Methods – volume: 30 start-page: 3893 year: 2018 end-page: 3904 article-title: Robust extended dissipativity criteria for discrete‐time uncertain neural networks with time‐varying delays publication-title: Neural Comput Appl – volume: 170 start-page: 37 year: 2020 end-page: 52 article-title: Mixed and passive control for fractional‐order nonlinear systems via LMI approach publication-title: Acta Appl Math – volume: 61 start-page: 3221 year: 2016 end-page: 3226 article-title: Event‐triggered control: a switching approach publication-title: IEEE Trans Automat Contr – volume: 39 start-page: 5020 year: 2019 end-page: 5038 article-title: On static and dynamic triggered mechanisms for event‐triggered control of uncertain systems publication-title: Circuits Syst Signal Process – volume: 7 start-page: 877 year: 2013 end-page: 886 article-title: Distributed event‐based control strategies for interconnected linear systems publication-title: IET Control Theory Appl – volume: 15 year: 1994 – volume: 52 start-page: 1680 year: 2007 end-page: 1685 article-title: Event‐triggered real‐time scheduling of stabilizing control tasks publication-title: IEEE Trans Automat Contr – volume: 62 start-page: 2071 year: 2017 end-page: 2076 article-title: Event‐triggered adaptive control for a class of uncertain nonlinear systems publication-title: IEEE Trans Automat Contr – year: 2003 – volume: 30 start-page: 58 year: 2019 end-page: 71 article-title: Finite‐time passivity‐based stability criteria for delayed discrete‐time neural networks via new weighted summation inequalities publication-title: IEEE Trans Neural Netw Learn Syst – volume: 417 start-page: 290 year: 2020 end-page: 301 article-title: Impulsive effects on stability and passivity analysis of memristor‐based fractional‐order competitive neural networks publication-title: Neurocomputing – volume: 355 start-page: 2735 year: 2018 end-page: 2761 article-title: A state estimation issue for discrete‐time stochastic impulsive genetic regulatory networks in the presence of leakage, multiple delays and Markovian jumping parameters publication-title: J Frankl Inst – volume: 72 start-page: 25 year: 2018 end-page: 36 article-title: Robust cost guaranteed integral sliding mode control for the synchronization problem of nonlinear tele‐operation system with variable time‐delay publication-title: ISA Trans – volume: 30 start-page: 527 year: 2013 end-page: 542 article-title: Observer‐based event‐triggered control for certain and uncertain linear systems publication-title: IMA J Math Contr Inf – volume: 355 start-page: 6371 year: 2018 end-page: 6389 article-title: Finite‐time non‐fragile ‐ control for jumping stochastic systems subject to input constraints via an event‐triggered mechanism publication-title: J Franklin Inst – volume: 9 start-page: 130862 year: 2021 end-page: 130883 article-title: Adaptive fuzzy feedback controller design for finite‐time Mittag‐Leffler synchronization of fractional‐order quaternion‐valued reaction‐diffusion fuzzy molecular modeling of delayed neural networks publication-title: IEEE Access – year: 2020 article-title: Admissibilization for implicit jump systems with mixed retarded delays based on reciprocally convex integral inequality and Barbalat's lemma publication-title: IEEE Trans Syst Man Cybern Syst – volume: 62 start-page: 5923 year: 2017 end-page: 5930 article-title: Event‐triggered global robust output regulation for a class of nonlinear systems publication-title: IEEE Trans Automat Contr – volume: 32 start-page: 537 year: 2015 end-page: 556 article-title: Event‐triggered consensus of multi‐agent systems under jointly connected topology publication-title: IMA J Math Control Inf – volume: 26 start-page: 3122 year: 2016 end-page: 3135 article-title: Finite‐time event‐triggered control for T‐S fuzzy Markov jump systems publication-title: IEEE Trans Fuzzy Syst – volume: 37 start-page: 235 year: 2013 end-page: 249 article-title: New controller design for neural networks with interval time‐varying delays in state and observation publication-title: Neural Process Lett – volume: 60 start-page: 1992 year: 2014 end-page: 1997 article-title: Dynamic triggering mechanisms for event‐triggered control publication-title: IEEE Trans Automat Contr – volume: 34 start-page: 92 year: 2019 end-page: 107 article-title: Fault‐tolerant leader‐following consensus for multi‐agent systems subject to semi‐Markov switching topologies: an event‐triggered control scheme publication-title: Nonlinear Anal Hybrid Syst – volume: 85 start-page: 248 year: 2017 end-page: 255 article-title: Input‐to‐state stability of integral‐based event‐triggered control for linear plants publication-title: Automatica – volume: 16 start-page: 726 year: 2018 end-page: 738 article-title: A new global robust exponential stability criterion for control of uncertain stochastic neutral‐type neural networks with both time‐varying delays publication-title: Int J Control Automat Syst – volume: 42 start-page: 660 year: 2020 end-page: 683 article-title: Event‐triggered control of nonlinear positive semi‐Markovian jump systems with randomly occurring actuator faults publication-title: Optim Control Appl Methods – year: 2020 article-title: Asynchronous feedback control for delayed fuzzy degenerate jump systems under observer‐based event‐driven characteristic publication-title: IEEE Trans Fuzzy Syst – volume: 50 start-page: 1372 year: 2020 end-page: 1382 article-title: H∞ containment control of multiagent systems under event‐triggered communication scheduling: the finite‐horizon case publication-title: IEEE Trans Cybern – volume: 32 start-page: 245 year: 2012 end-page: 256 article-title: Nonlinear dynamics and chaos in fractional‐order neural networks publication-title: Neural Netw – volume: 182 start-page: 765 year: 2021 end-page: 790 article-title: Finite‐time event‐triggered approach for recurrent neural networks with leakage term and its application publication-title: Math Comput Simul – volume: 63 start-page: 6395 year: 2016 end-page: 6406 article-title: A tandem active disturbance rejection control for a laboratory helicopter with variable‐speed rotors publication-title: IEEE Trans Ind Electron – volume: 42 start-page: 790 year: 2018 end-page: 805 article-title: H∞ robust control based on event‐triggered sampling for hybrid systems with singular Markovian jump publication-title: Math Methods Appl Sci – volume: 73 start-page: 1235 year: 2010 end-page: 1243 article-title: Delay‐dependent robust control for uncertain systems with interval time‐varying delays publication-title: Neurocomputing – ident: e_1_2_9_3_1 doi: 10.1109/TSMC.2020.2964057 – ident: e_1_2_9_33_1 doi: 10.1109/TCYB.2018.2885567 – ident: e_1_2_9_16_1 doi: 10.1109/TIE.2016.2587238 – ident: e_1_2_9_5_1 doi: 10.1109/TNNLS.2018.2829149 – ident: e_1_2_9_13_1 doi: 10.1109/ASCC.2017.8287238 – ident: e_1_2_9_38_1 doi: 10.1007/978-1-4612-0039-0 – ident: e_1_2_9_36_1 doi: 10.1109/TFUZZ.2017.2788891 – ident: e_1_2_9_8_1 doi: 10.1007/s12555-017-0410-x – ident: e_1_2_9_6_1 doi: 10.1109/ACCESS.2021.3113915 – ident: e_1_2_9_4_1 doi: 10.1007/s00521-017-2974-z – ident: e_1_2_9_28_1 doi: 10.1109/TAC.2007.904277 – ident: e_1_2_9_39_1 doi: 10.1137/1.9781611970777 – ident: e_1_2_9_12_1 doi: 10.1007/s11063-012-9243-z – ident: e_1_2_9_37_1 doi: 10.1002/mma.5380 – ident: e_1_2_9_9_1 doi: 10.1016/j.jfranklin.2017.12.036 – ident: e_1_2_9_23_1 doi: 10.1002/oca.2696 – ident: e_1_2_9_11_1 doi: 10.1016/j.neucom.2010.01.004 – ident: e_1_2_9_17_1 doi: 10.1109/ACC.2016.7525526 – ident: e_1_2_9_18_1 doi: 10.1093/imamci/dns035 – ident: e_1_2_9_34_1 doi: 10.1007/s11063-018-9895-4 – ident: e_1_2_9_29_1 doi: 10.1109/TAC.2016.2594204 – ident: e_1_2_9_31_1 doi: 10.1049/iet-cta.2012.0525 – ident: e_1_2_9_2_1 doi: 10.1109/TFUZZ.2020.3027336 – ident: e_1_2_9_27_1 doi: 10.1007/s00034-020-01399-6 – ident: e_1_2_9_22_1 doi: 10.1016/j.nahs.2019.05.003 – ident: e_1_2_9_7_1 doi: 10.1016/j.neucom.2020.07.036 – ident: e_1_2_9_10_1 doi: 10.1109/TCSI.2008.2003372 – ident: e_1_2_9_15_1 doi: 10.1007/s10440-020-00323-z – ident: e_1_2_9_25_1 doi: 10.1016/j.ins.2018.04.055 – ident: e_1_2_9_32_1 doi: 10.1016/j.matcom.2020.12.001 – ident: e_1_2_9_21_1 doi: 10.1016/j.jfranklin.2018.06.030 – ident: e_1_2_9_14_1 doi: 10.1016/j.isatra.2017.10.009 – ident: e_1_2_9_24_1 doi: 10.1002/oca.2782 – ident: e_1_2_9_40_1 doi: 10.1016/j.neunet.2012.02.030 – ident: e_1_2_9_30_1 doi: 10.1109/TAC.2017.2700384 – ident: e_1_2_9_26_1 doi: 10.1109/TAC.2014.2366855 – ident: e_1_2_9_35_1 doi: 10.1109/TAC.2015.2508286 – ident: e_1_2_9_20_1 doi: 10.1016/j.automatica.2017.07.068 – ident: e_1_2_9_19_1 doi: 10.1093/imamci/dnu009 |
| SSID | ssj0007132 |
| Score | 2.337649 |
| Snippet | The event‐triggered H∞$$ {H}_{\infty } $$ control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this... The event‐triggered control problem for uncertain neural networks subject to time‐varying delays and disturbances was considered in this article. A method... |
| SourceID | proquest crossref wiley |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1651 |
| SubjectTerms | discrete‐time event‐triggered mechanisms Disturbances H-infinity control H∞$$ {H}_{\infty } $$ control Linear matrix inequalities linear matrix inequality Lyapunov function Mathematical analysis Neural networks time‐delay systems |
| Title | Discrete‐time dynamic event‐triggered H∞ control of uncertain neural networks subject to time delays and disturbances |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Foca.2945 https://www.proquest.com/docview/2836700097 |
| Volume | 44 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA7iSQ--xfVFBNFT1z6SpjmKDxYPCuLCgoeSpK2IS1e23YN68ejRX-CP85c407S7KgriqVCSPpLJ5JvwzTeE7HrMGAlI3BGuTB0mPe5orZljhJfKzMsghK4Isudhp8vOerxXsyoxF8bqQ4wP3HBlVP4aF7jSxcFENBRcfduXDPPLkaqFeOhyohwFsZdv2YsBGEIkGt1Z1z9oOn7diSbw8jNIrXaZ03ly3XyfJZfctUelbpvHb9KN__uBBTJXg096aK1lkUyl-RKZ_SRJuEyejm_BkQCSfn9-xbrzNLEl62ml9IQ3IZy_wQKftPP-8kZrqjsdZBR2SMsvoCiSCe_JLcW8oMVI43EPLQfUPjPtq4eCqjyhCZjZaKjR9ooV0j09uTrqOHWBBscASuAOF9KEWkoVJFkmEvAHhitAaBmLIPTVbupLwxIGoAyCPDfRLFRccU8bIZJQahaskul8kKdrhGYs8BVTYCEsZAKBiqsiiIW0VCEPeNQi-81kxaZWL8ciGv3Y6i77MQxnjMPZIjvjlvdWseOHNpvNfMf1mi1iAFqYs-RK0SJ71cT92j--ODrE6_pfG26QGaxTb3m-m2S6HI7SLUAzpd6u7PYD8RD0hg |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1JS8QwFH64HNSDuziuEURPHbskzQRP4sK4gyh4EEqStiJKR-zMQb149Ogv8Mf5S3xpWkdFQTwVStIleXn53uPL9wCWPaq1QCTucFckDhUec5RS1NHcS0TqpRhCFwTZo7B5RvfO2XkPrFdnYaw-xEfCzayMwl-bBW4S0mtd1VD09XVfUNYL_aagdxFPnXS1ozD68i1_MUBTaPBKedb116qeX_eiLsD8DFOLfWZnBC6qL7T0kut6p63q-uGbeOM_f2EUhkv8STaswYxBT5KNw9AnVcIJeNy6Ql-CYPrt6cWUniexrVpPCrEncxMj-ktT45M0355fScl2J62U4CZpKQbE6GTiezLLMs9J3lEm40PaLWKfmdzI-5zILCYxWlrnThnzyyfhbGf7dLPplDUaHI1AgTmMCx0qIWQQpymP0SVoJhGkpbSB0a9yE19oGlPEZRjnubGioWSSeUpzHodC0WAK-rJWlkwDSWngSyrRSGhIucEqrmxgOKSEDFnAGjVYrWYr0qWAuamjcRNZ6WU_wuGMzHDWYOmj5a0V7fihzVw14VG5bPMIsZY5tuQKXoOVYuZ-7R8db26Y68xfGy7CQPP08CA62D3an4VBU7be0n7noK9910nmEdy01UJhxO8lZfih |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwEB61VELlAC0PdXkaCdFTdvOw4_iIWFYLRYAQSEgcIj-SqirKIrJ7oL1w5Mgv4MfxSxjHCUsrkBCnSJGdh2c8_sb6_A3ARkC1FojEPe6LzKMiYJ5SinqaB5nIgxxT6IogexD3T-neGTurWZX2LIzTh3jacLMzo4rXdoJfmrwzFg3FUN8OBWUf4RON_cR6dPd4LB2FyVfo6IsRekLCG-FZP-w0Pf9disb48jlKrZaZ3gycNx_o2CW_26Ohaus__2k3vu8PvsB0jT7JlnOXr_AhK2Zh6pkm4Rz87f7CSIJQ-uHmzhaeJ8bVrCeV1JO9ifn8T1vhk_Qfbu9JzXUng5zgEukIBsSqZOJ7CscxL0k5Una_hwwHxD0zu5DXJZGFIQb9bHSlrPOV83Da2znZ7nt1hQZPI0xgHuNCx0oIGZk85wYDgmYSIVpOE8x9lZ-FQlNDEZVhlucbRWPJJAuU5tzEQtFoASaKQZF9A5LTKJRUoovQmHKLVHyZYDKkhIxZxJIWfG-MlepavtxW0bhInfBymOJwpnY4W7D-1PLSSXa80Ga5sXdaT9oyRaRlDy35grdgszLcq_3Tw-0te118a8M1mDzq9tL93YMfS_DZ1qx3nN9lmBhejbIVRDZDtVq58CNrzfdZ |
| 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=Discrete%E2%80%90time+dynamic+event%E2%80%90triggered+H+%E2%88%9E+control+of+uncertain+neural+networks+subject+to+time+delays+and+disturbances&rft.jtitle=Optimal+control+applications+%26+methods&rft.au=Huong%2C+Dinh+Cong&rft.date=2023-07-01&rft.issn=0143-2087&rft.eissn=1099-1514&rft.volume=44&rft.issue=4&rft.spage=1651&rft.epage=1670&rft_id=info:doi/10.1002%2Foca.2945&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_oca_2945 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0143-2087&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0143-2087&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0143-2087&client=summon |