Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can re...
Saved in:
| Published in | Complexity (New York, N.Y.) Vol. 2021; no. 1 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Hindawi
2021
John Wiley & Sons, Inc Wiley |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. Based on the Lyapunov stability theory, it is proved ultimately that all signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood of the origin. Finally, an example based on an actual system is given to verify the effectiveness of the proposed control scheme. |
|---|---|
| AbstractList | This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. Based on the Lyapunov stability theory, it is proved ultimately that all signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood of the origin. Finally, an example based on an actual system is given to verify the effectiveness of the proposed control scheme. |
| Audience | Academic |
| Author | Liu, Lei Zhu, Chang-Qi |
| Author_xml | – sequence: 1 givenname: Chang-Qi surname: Zhu fullname: Zhu, Chang-Qi organization: College of ScienceLiaoning University of TechnologyJinzhou 121001LiaoningChinalnit.edu.cn – sequence: 2 givenname: Lei orcidid: 0000-0003-3724-0596 surname: Liu fullname: Liu, Lei organization: College of ScienceLiaoning University of TechnologyJinzhou 121001LiaoningChinalnit.edu.cn |
| BookMark | eNp9kl9rFDEUxQepYFt98wMEfNRp83czeVy2VgtLBVdffAmZ5M42y2yyJpnKFvzuZrtFEUTycMPldw_nXs5ZcxJigKZ5TfAFIUJcUkzJJeGKKCWeNacEK9ViQWcnh7-ctVR28kVzlvMGY6xmTJ42Pz_HfsoFzZ3ZFX8P6Hp6eNijRQwlxRHde4NWxRRor2AHwUEolQi2-BjQEBO6jWH0AUyqWLR3Jhdv0dKkNbQra0ZAq30usM1oNfUbsAWViK7AOPStWs8vm-eDGTO8eqrnzdfr918WH9vlpw83i_mytZzK0gqs2CCUFQILcACCYIOxBMdxxwbgQuJe2boQdkpyLg1TjnTUzahklDLJzpubo66LZqN3yW9N2utovH5sxLTWJlXnI2hjgTjLZ6CE4B3vezsQQVwHzECHja1ab45auxS_T5CL3sQphWpfU9EJijEj_A-1rkfQPgyxJGO3Pls97xhlVOFOVeriH1R9Drbe1gsNvvb_Gnh3HLAp5pxg-L0MwfqQAX3IgH7KQMXfHvE7H5z54f9P_wIMmbCC |
| Cites_doi | 10.1016/j.automatica.2007.11.025 10.1109/tcyb.2016.2647626 10.1016/j.automatica.2019.108608 10.1007/s11424-013-2153-y 10.1016/j.automatica.2016.03.005 10.1016/j.automatica.2008.11.017 10.1109/TSMC.2020.3048733 10.1007/s11424-020-8198-9 10.1109/tfuzz.2018.2814596 10.1109/TCYB.2019.2894024 10.1109/tsmc.2019.2918351 10.1016/j.automatica.2017.07.028 10.1016/j.automatica.2019.05.032 10.1109/tfuzz.2012.2190048 10.1109/tnnls.2015.2412121 10.1002/rnc.4832 10.1016/j.automatica.2018.10.030 10.1016/j.automatica.2015.10.034 10.1109/tnnls.2018.2869375 10.1109/tfuzz.2014.2375917 10.1109/TNNLS.2020.3027339 10.1016/j.automatica.2017.03.033 10.1007/s11424-014-2243-5 10.1109/tcyb.2018.2856747 10.1109/TSMC.2015.2426131 10.1109/TSMC.2020.3020188 10.1016/s0167-6911(97)00068-6 10.1109/tnnls.2016.2598580 10.1109/9.151092 10.1109/TFUZZ.2021.3077317 10.1109/JAS.2020.1003596 10.1109/tfuzz.2013.2241770 10.1109/TIE.2021.3080205 10.1109/tsmc.2018.2800783 10.1016/j.automatica.2020.109102 10.1109/9.580893 10.1007/s11424-018-7425-0 10.1007/s11424-018-7107-y 10.1109/tfuzz.2016.2516587 10.1002/rnc.5172 10.1109/tfuzz.2013.2291554 10.1109/TFUZZ.2021.3075490 10.1109/9.554396 10.1016/j.ins.2015.04.002 10.1002/rnc.5366 10.1109/TCYB.2020.3012607 10.1109/TNNLS.2015.2508926 10.1109/tcyb.2020.2977175 10.1109/tfuzz.2016.2540058 10.1109/9.887638 10.1016/j.automatica.2011.08.044 10.1002/rnc.5531 10.1016/j.ins.2014.06.042 10.1109/TCYB.2020.3000920 10.1016/j.automatica.2016.10.011 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 Chang-Qi Zhu and Lei Liu. COPYRIGHT 2021 John Wiley & Sons, Inc. Copyright © 2021 Chang-Qi Zhu and Lei Liu. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| Copyright_xml | – notice: Copyright © 2021 Chang-Qi Zhu and Lei Liu. – notice: COPYRIGHT 2021 John Wiley & Sons, Inc. – notice: Copyright © 2021 Chang-Qi Zhu and Lei Liu. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| DBID | RHU RHW RHX AAYXX CITATION 3V. 7XB 8FE 8FG 8FK 8G5 ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ GUQSH HCIFZ JQ2 K7- M2O MBDVC P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U DOA |
| DOI | 10.1155/2021/1491995 |
| DatabaseName | Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Research Library ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student Research Library Prep SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Research Library Research Library (Corporate) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection 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 ProQuest Central Basic DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Research Library Prep Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Research Library ProQuest Central (New) Advanced Technologies & Aerospace Collection ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | CrossRef Research Library Prep |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Mathematics |
| EISSN | 1099-0526 |
| Editor | Veluvolu, Kalyana C. |
| Editor_xml | – sequence: 1 givenname: Kalyana C. surname: Veluvolu fullname: Veluvolu, Kalyana C. |
| ExternalDocumentID | oai_doaj_org_article_ace1dc46e955484bbcf151d8e3ae80ac A832329089 10_1155_2021_1491995 |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61973147; 61803190 – fundername: Liaoning Revitalization Talents Program grantid: XLYC1907050 |
| GroupedDBID | .3N .DC .GA 05W 0R~ 10A 1L6 1OC 33P 3SF 3V. 3WU 4.4 4ZD 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8FE 8FG 8G5 8UM 930 A03 AAESR AAFWJ AAJEY AAONW ABCQN ABEML ABIJN ABPVW ABUWG ACSCC ADBBV ADIZJ AENEX AFBPY AFKRA AFPKN AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS AMBMR ARAPS ATUGU AZBYB AZQEC AZVAB BAFTC BCNDV BENPR BGLVJ BHBCM BNHUX BPHCQ BROTX BRXPI BY8 CCPQU CS3 D-E D-F DPXWK DR2 DU5 DWQXO EBD EBS F00 F01 F04 F5P G-S G.N GNP GNUQQ GODZA GROUPED_DOAJ GUQSH H.T H.X HBH HCIFZ HHY HZ~ IAO ITC IX1 J0M JPC K6V K7- KQQ LAW LC2 LC3 LP6 LP7 M2O MK4 N04 N05 N9A NF~ NNB O66 O9- OIG OK1 P2P P2W P2X P4D P62 PQQKQ PROAC Q.N Q11 QB0 QRW R.K RHU RHW RHX RWI RX1 RYL SUPJJ TUS V2E W8V W99 WBKPD WIH WQJ WRC XBAML XG1 XPP XSW XV2 ~IA ~WT .Y3 24P 31~ 3R3 5VS AAEVG AAHHS AANHP AAYXX ACBWZ ACCFJ ACCMX ACRPL ACXQS ACYXJ ADNMO ADZOD AEEZP AEIMD AEQDE AFZJQ AGQPQ AIWBW AJBDE AMVHM ASPBG AVWKF AZFZN BDRZF BFHJK CITATION DCZOG EJD FEDTE H13 HF~ HVGLF ICD LH4 LW6 PHGZM PHGZT ROL WYUIH PMFND 7XB 8FK AAMMB AEFGJ AGXDD AIDQK AIDYY JQ2 MBDVC PKEHL PQEST PQGLB PQUKI PRINS Q9U PUEGO |
| ID | FETCH-LOGICAL-c427t-5093f59c5505edee510a007ed4083fe4570b9c9630d97447a39d182d627322373 |
| IEDL.DBID | RHX |
| ISSN | 1076-2787 |
| IngestDate | Wed Aug 27 01:30:51 EDT 2025 Fri Jul 25 21:06:22 EDT 2025 Tue Jun 17 21:57:29 EDT 2025 Tue Jun 10 20:58:56 EDT 2025 Tue Jul 01 02:08:22 EDT 2025 Sun Jun 02 19:17:22 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c427t-5093f59c5505edee510a007ed4083fe4570b9c9630d97447a39d182d627322373 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-3724-0596 |
| OpenAccessLink | https://dx.doi.org/10.1155/2021/1491995 |
| PQID | 2585200314 |
| PQPubID | 2029978 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_ace1dc46e955484bbcf151d8e3ae80ac proquest_journals_2585200314 gale_infotracmisc_A832329089 gale_infotracacademiconefile_A832329089 crossref_primary_10_1155_2021_1491995 hindawi_primary_10_1155_2021_1491995 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-00-00 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – year: 2021 text: 2021-00-00 |
| PublicationDecade | 2020 |
| PublicationPlace | Hoboken |
| PublicationPlace_xml | – name: Hoboken |
| PublicationTitle | Complexity (New York, N.Y.) |
| PublicationYear | 2021 |
| Publisher | Hindawi John Wiley & Sons, Inc Wiley |
| Publisher_xml | – name: Hindawi – name: John Wiley & Sons, Inc – name: Wiley |
| References | e_1_2_9_52_2 e_1_2_9_50_2 e_1_2_9_10_2 e_1_2_9_33_2 e_1_2_9_56_2 e_1_2_9_12_2 e_1_2_9_31_2 e_1_2_9_54_2 Tong S. C. (e_1_2_9_20_2) 2019; 30 e_1_2_9_14_2 e_1_2_9_37_2 e_1_2_9_16_2 e_1_2_9_35_2 e_1_2_9_18_2 e_1_2_9_39_2 e_1_2_9_41_2 e_1_2_9_45_2 e_1_2_9_22_2 e_1_2_9_43_2 e_1_2_9_6_2 e_1_2_9_4_2 e_1_2_9_2_2 Zhao K. (e_1_2_9_32_2) 2017; 29 e_1_2_9_8_2 e_1_2_9_24_2 e_1_2_9_49_2 e_1_2_9_26_2 e_1_2_9_47_2 e_1_2_9_28_2 e_1_2_9_51_2 e_1_2_9_30_2 e_1_2_9_34_2 e_1_2_9_55_2 e_1_2_9_11_2 e_1_2_9_53_2 e_1_2_9_13_2 e_1_2_9_38_2 e_1_2_9_15_2 e_1_2_9_36_2 e_1_2_9_57_2 e_1_2_9_17_2 e_1_2_9_19_2 e_1_2_9_40_2 e_1_2_9_21_2 e_1_2_9_44_2 e_1_2_9_23_2 e_1_2_9_42_2 e_1_2_9_7_2 e_1_2_9_5_2 e_1_2_9_3_2 e_1_2_9_1_2 e_1_2_9_9_2 e_1_2_9_25_2 e_1_2_9_48_2 e_1_2_9_27_2 e_1_2_9_46_2 e_1_2_9_29_2 |
| References_xml | – ident: e_1_2_9_42_2 doi: 10.1016/j.automatica.2007.11.025 – ident: e_1_2_9_57_2 doi: 10.1109/tcyb.2016.2647626 – ident: e_1_2_9_36_2 doi: 10.1016/j.automatica.2019.108608 – ident: e_1_2_9_41_2 doi: 10.1007/s11424-013-2153-y – ident: e_1_2_9_14_2 doi: 10.1016/j.automatica.2016.03.005 – ident: e_1_2_9_21_2 doi: 10.1016/j.automatica.2008.11.017 – ident: e_1_2_9_26_2 doi: 10.1109/TSMC.2020.3048733 – ident: e_1_2_9_43_2 doi: 10.1007/s11424-020-8198-9 – ident: e_1_2_9_56_2 doi: 10.1109/tfuzz.2018.2814596 – ident: e_1_2_9_10_2 doi: 10.1109/TCYB.2019.2894024 – ident: e_1_2_9_5_2 doi: 10.1109/tsmc.2019.2918351 – ident: e_1_2_9_23_2 doi: 10.1016/j.automatica.2017.07.028 – ident: e_1_2_9_35_2 doi: 10.1016/j.automatica.2019.05.032 – ident: e_1_2_9_46_2 doi: 10.1109/tfuzz.2012.2190048 – ident: e_1_2_9_48_2 doi: 10.1109/tnnls.2015.2412121 – ident: e_1_2_9_9_2 doi: 10.1002/rnc.4832 – ident: e_1_2_9_39_2 doi: 10.1016/j.automatica.2018.10.030 – ident: e_1_2_9_25_2 doi: 10.1016/j.automatica.2015.10.034 – ident: e_1_2_9_40_2 doi: 10.1109/tnnls.2018.2869375 – ident: e_1_2_9_47_2 doi: 10.1109/tfuzz.2014.2375917 – ident: e_1_2_9_28_2 doi: 10.1109/TNNLS.2020.3027339 – ident: e_1_2_9_31_2 doi: 10.1016/j.automatica.2017.03.033 – ident: e_1_2_9_45_2 doi: 10.1007/s11424-014-2243-5 – ident: e_1_2_9_38_2 doi: 10.1109/tcyb.2018.2856747 – ident: e_1_2_9_7_2 doi: 10.1109/TSMC.2015.2426131 – ident: e_1_2_9_54_2 doi: 10.1109/TSMC.2020.3020188 – ident: e_1_2_9_16_2 doi: 10.1016/s0167-6911(97)00068-6 – ident: e_1_2_9_50_2 doi: 10.1109/tnnls.2016.2598580 – ident: e_1_2_9_2_2 doi: 10.1109/9.151092 – ident: e_1_2_9_15_2 doi: 10.1109/TFUZZ.2021.3077317 – ident: e_1_2_9_29_2 doi: 10.1109/JAS.2020.1003596 – ident: e_1_2_9_8_2 doi: 10.1109/tfuzz.2013.2241770 – ident: e_1_2_9_11_2 doi: 10.1109/TIE.2021.3080205 – ident: e_1_2_9_27_2 doi: 10.1109/tsmc.2018.2800783 – volume: 30 start-page: 1451 year: 2019 ident: e_1_2_9_20_2 article-title: Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems using DSC technique publication-title: International Journal of Robust and Nonlinear Control – ident: e_1_2_9_34_2 doi: 10.1016/j.automatica.2020.109102 – ident: e_1_2_9_4_2 doi: 10.1109/9.580893 – ident: e_1_2_9_52_2 doi: 10.1007/s11424-018-7425-0 – ident: e_1_2_9_55_2 doi: 10.1007/s11424-018-7107-y – ident: e_1_2_9_44_2 doi: 10.1109/tfuzz.2016.2516587 – ident: e_1_2_9_51_2 doi: 10.1002/rnc.5172 – ident: e_1_2_9_19_2 doi: 10.1109/tfuzz.2013.2291554 – ident: e_1_2_9_37_2 doi: 10.1109/TFUZZ.2021.3075490 – ident: e_1_2_9_1_2 doi: 10.1109/9.554396 – ident: e_1_2_9_17_2 doi: 10.1016/j.ins.2015.04.002 – ident: e_1_2_9_6_2 doi: 10.1002/rnc.5366 – ident: e_1_2_9_53_2 doi: 10.1109/TCYB.2020.3012607 – ident: e_1_2_9_30_2 doi: 10.1109/TNNLS.2015.2508926 – ident: e_1_2_9_12_2 doi: 10.1109/tcyb.2020.2977175 – ident: e_1_2_9_49_2 doi: 10.1109/tfuzz.2016.2540058 – volume: 29 start-page: 3478 year: 2017 ident: e_1_2_9_32_2 article-title: “Prescribed performance control of uncertain euler–Lagrange systems subject to full-state constraints” publication-title: IEEE Transactions on Neural Networks and Learning Systems – ident: e_1_2_9_3_2 doi: 10.1109/9.887638 – ident: e_1_2_9_22_2 doi: 10.1016/j.automatica.2011.08.044 – ident: e_1_2_9_13_2 doi: 10.1002/rnc.5531 – ident: e_1_2_9_18_2 doi: 10.1016/j.ins.2014.06.042 – ident: e_1_2_9_33_2 doi: 10.1109/TCYB.2020.3000920 – ident: e_1_2_9_24_2 doi: 10.1016/j.automatica.2016.10.011 |
| SSID | ssj0009637 |
| Score | 2.2051663 |
| Snippet | This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By... This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large‐scale systems with constraints and unknown dead zones. By... |
| SourceID | doaj proquest gale crossref hindawi |
| SourceType | Open Website Aggregation Database Index Database Publisher |
| SubjectTerms | Adaptive control Algebra Constraints Control algorithms Design Feedback control Fuzzy control Fuzzy logic Fuzzy systems Neural networks Nonlinear systems Robust control Tracking errors |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3LSgMxFA0iCLoQ6wOrVbJQ1EWwM5NkZpa1WkTUhQ8QNyGvYjettFNFwX_33plMsbhw47YN0zT3dU7m5oSQg7bJdCJSw_qxzBgHusZy4TTLtfCJcdynDg8K39zKy0d-9SSeflz1hT1hlTxwtXCn2vrIWS59DoUv48bYPhQpl_lE-6ytLWZfqHk1marldmWplgncRrIYfLJueRcC2X50CrwAzybPFaNSs3-WmZdekBO_D37l6LLw9NbIakCMtFPNtEEW_HCdrNzM5FYn66QRInRCj4OM9MkG-bobmemkoB2nXzGn0d708_ODdqvedPo20LREmuw83INbwIhhecyBApKlt5WIhh7DsJF90SjoTK-xcZzdg2E9DWLnFHIPbubQYkTPwWPoM8r_b5LH3sVD95KFyxaY5XFaMAAOSV_kFhmLd95DrGrAD95xAGl9z0XaNrmFdW07oCA81UnugJs4CfgHIEaabJHFITx_m1BgKImVLrPSaDCcNKhBY01kI21yn0VNclivunqtNDVUyUWEUGgdFazTJGdoktkYVMIuPwD_UME_1F_-0SRHaFCF8VqMtdXh2AFMFZWvVAdSWhLj288mac2NhDizc18fBJf4Y9Kt2l9USAcTFQMpwy7AiO_8x3_aJcv4k9VOUIssFuOp3wNsVJj9Mgy-Afg8CNU priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Lb9NAEB5BKiQ4oLaACA3VHoqAw6qxvbu2Tyh9RBWiESpUqris9hXaSxxih4pK_Hdm7E2qCAmu3pVteR77fevZbwAOhrYwmcwtn6aq4ALpGi-lN7w0MmTWi5B7Oih8PlFnl-LjlbyKG251LKtc5cQ2UfvK0R75YYq4lgqpEvFh_oNT1yj6uxpbaDyELUzBRdGDraPTyeeLe9ld1apmIsdRPEXfXJW-S0msPzlEfkBnlDcWpVa7f52hH10TN769-StXtwvQeBueRuTIRp2pd-BBmO3Ck_O17Gq9CzsxUmv2LspJv38Gvy8qu6wbNvJmTrmNjZd3d7_YcVejzn7eGNYiTn4S--E2OGPWHndgiGjZpBPTMAucVrlrQ8LO7BMVkPMvaODAoug5wxxEmzqsqdgJeg77Rm0AnsPl-PTr8RmPTRe4E2necAQQ2VSWjphL8CFgzBrEEcELBGvTIGQ-tKXD7zr0SEVEbrLSI0fxCnEQQo08ewG9Gd7_JTBkKplTvnDKGqGCsqRF42ziEmPLUCR9eLP66nreaWvolpNIqck6OlqnD0dkkvUcUsRuL1SL7zoGmDYuJN7hY0oESIWw1k0RzPgiZCYUQ-P68JYMqilum4VxJh4_wFclBSw9wtSWpfQXtA-DjZkYb25j-CC6xH9eerDyFx3TQq3vnfjVv4f34DHdrNvrGUCvWSzDa0Q_jd2PLv4H1aYAFQ priority: 102 providerName: ProQuest |
| Title | Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones |
| URI | https://dx.doi.org/10.1155/2021/1491995 https://www.proquest.com/docview/2585200314 https://doaj.org/article/ace1dc46e955484bbcf151d8e3ae80ac |
| Volume | 2021 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bb9MwFD5iQ0jwMLEBWlmp_DAEPFg0ieMkj92lVIhVaDCp4sXyrdpe2qlJQZu0_845jlvU7WE8JnESy-fi7_PlM8Bh35Q6ywvDp6ksuUC6xqvcaV7p3GfGCV842ih8NpajC_F1kk-iSFL9cAofezui58lnBPK0mXgLttDBiJSPJv-0dWWQxkQiI3mKDrha337v3Y2eJwj0r9Pws0siwH-uHiTk0MsMX8JOhIds0NpzF5742R68OFtrq9Z7sBvDsWYfo2b0p1dwdz43y7phA6evKYGx4fL29oYdtwvR2e8rzQKs5Cfx0NsGS8zCngaGsJWNW8UMvcBic3upSb2ZfaNV4vwHWtGzqGzOMNHQyA1r5uwE3YP9Iq3_13AxPP15POLxZAVuRVo0HFFCNs0rS_TEO-8xMDWCBe8EIrKpF3nRN5XFdu075Bui0FnlkIg4iWAH8USRvYHtGX5_HxjSkcxKV1pptJBeGhKcsSaxiTaVL5MOvF-1urpuBTRUIB55rsg6KlqnA0dkknUZkr0ON9AVVIwipa1PnMXfVIiCSmGMnSJicaXPtC_72nbgAxlUUXA2C2113GOAVSWZKzXA_JWlNNXZge5GSQwqu_H4MLrEI5XurvxFxdivVYoMjJb8JeLt_33lAJ7TZTuw04XtZrH07xDqNKaH7j780oOnR6fj7-e9MGDQC87_F3MN9_Q |
| linkProvider | Hindawi Publishing |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VIgQcEC0gAgH20Ao4rBrb69cBodAQUprkAK1U9bLsK7SXOCQOVSvxl_iNzNjrVBESnHq1V2vL8_pmPfMNwE5HZyqKU80nYZJxgekaz2OreK5iF2krXGqpUXg0TgbH4vNJfLIBv5teGCqrbHxi5ahtYeiMfC9EXEuFVIF4P_vBaWoU_V1tRmjUanHoLi8wZVu8O-ihfHfDsP_xaH_A_VQBbkSYlhwjZDSJc0PQ3FnnUCkVBkpnBaKRiRNx2tG5Qb3sWMTaIlVRbhGE2wQDPcbSNMJ9b8FtEWEkp870_qdrkt-k4ujEjCrhIVpCU2gfx3TGEOxhNkId0WshsJoUsIoHd84oE784_ysyVOGu_xAeeJzKurVibcGGm27D_dGK5HWxDVveLyzYG09e_fYR_PpS6OWiZF2rZuRJWX95dXXJ9uuKePbzXLEK3_Ken75b4opp1VzBED-zcU3doea4rDBnimik2ZDK1flXVCfHPMU6Q49HR0isLFgP9ZSd0tCBx3B8I8J4AptT3P8pMMyLIpPYzCRaicQlmphvjA5MoHTusqAFu81Xl7OayUNWGVAcS5KO9NJpwQcSyWoN8W9XF4r5d-nNWSrjAmvwMTnCsUxobSYInWzmIuWyjjIteE0CleQlyrkyyjc74KsS35bsoiONQvrn2oL22kq0brN2e8erxH9eut3oi_ROaCGvTebZv2-_gruDo9FQDg_Gh8_hHm1cnzK1YbOcL90LxF2lflkpO4NvN21dfwBbDDjP |
| 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=Robust+Adaptive+Fuzzy+Control+via+State-Dependent+Function+for+Nonlinear+Stochastic+Large-Scale+Systems+Subject+to+Dead+Zones&rft.jtitle=Complexity+%28New+York%2C+N.Y.%29&rft.au=Zhu%2C+Chang-Qi&rft.au=Liu%2C+Lei&rft.date=2021&rft.pub=John+Wiley+%26+Sons%2C+Inc&rft.issn=1076-2787&rft.volume=2021&rft_id=info:doi/10.1155%2F2021%2F1491995&rft.externalDocID=A832329089 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1076-2787&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1076-2787&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1076-2787&client=summon |