Novel Command‐Filtered Event‐Triggered Control for High‐Frequency Gains Nonlinear Systems Under Multiactuator Constraints
This article proposes an event‐triggered command filtering adaptive fuzzy tracking control strategy for nonlinear systems with multiple unknown high‐frequency gains and actuator constraints. During the design phase, a fuzzy logic system is used to approximate unknown nonlinear functions, whereas a n...
Saved in:
| Published in | International journal of adaptive control and signal processing Vol. 39; no. 6; pp. 1149 - 1161 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bognor Regis
Wiley Subscription Services, Inc
01.06.2025
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0890-6327 1099-1115 |
| DOI | 10.1002/acs.3998 |
Cover
| Abstract | This article proposes an event‐triggered command filtering adaptive fuzzy tracking control strategy for nonlinear systems with multiple unknown high‐frequency gains and actuator constraints. During the design phase, a fuzzy logic system is used to approximate unknown nonlinear functions, whereas a novel equivalent transformation technique is introduced to simplify the design complexity of multiple input constraints by converting the input dead zones and saturation nonlinearities into a unified functional form. Subsequently, command filtering technology is used to address the issue of “complexity explosion” in control systems, and two additional adaptive laws are developed to assist in designing the compensation mechanism, which can both handle multiple unknown high‐frequency gains and eliminate the impact of filtering errors on the control performance. Furthermore, a relative threshold event‐triggered controller is developed to decrease data redundancy, and the viability of its triggering mechanism is demonstrated by excluding the Zeno phenomenon. The designed controller can ensure that the tracking error converges to a small vicinity near the origin, while all signals within the closed‐loop system remain bounded. Finally, the effectiveness of the proposed solution is validated through simulation results. |
|---|---|
| AbstractList | This article proposes an event‐triggered command filtering adaptive fuzzy tracking control strategy for nonlinear systems with multiple unknown high‐frequency gains and actuator constraints. During the design phase, a fuzzy logic system is used to approximate unknown nonlinear functions, whereas a novel equivalent transformation technique is introduced to simplify the design complexity of multiple input constraints by converting the input dead zones and saturation nonlinearities into a unified functional form. Subsequently, command filtering technology is used to address the issue of “complexity explosion” in control systems, and two additional adaptive laws are developed to assist in designing the compensation mechanism, which can both handle multiple unknown high‐frequency gains and eliminate the impact of filtering errors on the control performance. Furthermore, a relative threshold event‐triggered controller is developed to decrease data redundancy, and the viability of its triggering mechanism is demonstrated by excluding the Zeno phenomenon. The designed controller can ensure that the tracking error converges to a small vicinity near the origin, while all signals within the closed‐loop system remain bounded. Finally, the effectiveness of the proposed solution is validated through simulation results. |
| Author | Liu, Guobao Li, Shi Jing, Changqi Hu, Yifan |
| Author_xml | – sequence: 1 givenname: Changqi surname: Jing fullname: Jing, Changqi organization: School of Electrical and Automation Engineering Nanjing Normal University Nanjing China – sequence: 2 givenname: Guobao orcidid: 0000-0002-8553-6167 surname: Liu fullname: Liu, Guobao organization: School of Electrical and Automation Engineering Nanjing Normal University Nanjing China – sequence: 3 givenname: Shi orcidid: 0000-0002-2982-4332 surname: Li fullname: Li, Shi organization: School of Electrical and Automation Engineering Nanjing Normal University Nanjing China – sequence: 4 givenname: Yifan surname: Hu fullname: Hu, Yifan organization: Army Command Academy of PLA Nanjing China |
| BookMark | eNotUEFOwzAQtFCRaAsST7DEhUuK7aRp9oii0iKVcqA9R46zKakSu9hupZ7gCbyRl-BSDqOVZmdmVzMgPW00EnLL2YgzJh6kcqMYILsgfc4AIs75uEf6LAMWpbGYXJGBc1vGwo7HffK5NAdsaW66Turq5-v7qWk9Wqzo9IDaB2Jlm83mj8mN9ta0tDaWzpvN-0lt8WOPWh3pTDba0aXRbaNRWvp2dB47R9e6Qktf9q1vpPJ76YM5BDlvg8G7a3JZy9bhzf8ckvXTdJXPo8Xr7Dl_XERK8MxHgqUl8goCxqqGCaaSlVymtUizpE4AUEqESihQagyJKlkdkJQlKFSVrOIhuTvn7qwJHztfbM3e6nCyiIXIIIFJBkF1f1Ypa5yzWBc723TSHgvOilO9Rai3ONUb_wKMmHYV |
| Cites_doi | 10.1016/j.automatica.2023.111063 10.1016/j.nahs.2023.101334 10.1080/00207721.2022.2158446 10.1016/j.amc.2023.127992 10.1007/s11071-022-07573-6 10.1016/0167-6911(83)90021-X 10.1109/TSMC.2021.3050993 10.1016/j.measurement.2024.114344 10.1109/TAC.2000.880994 10.1109/TITS.2023.3234910 10.1016/j.automatica.2020.109268 10.3390/electronics12081830 10.1016/j.aeue.2023.154841 10.1016/j.oceaneng.2022.113541 10.1109/TSMC.2021.3103276 10.1002/acs.3565 10.1016/j.neunet.2023.09.019 10.1177/01423312231166435 10.1109/TFUZZ.2020.2982618 10.1109/TCYB.2021.3079129 10.1016/j.cnsns.2023.107697 10.1002/acs.3598 10.1109/ACCESS.2022.3153839 10.1016/j.cnsns.2022.106675 10.1080/00207721.2023.2277708 10.1080/00207721.2022.2076175 10.1109/TSMC.2021.3099808 10.1109/TIE.2023.3239926 10.1109/TFUZZ.2023.3298385 10.1016/j.cma.2023.116641 10.1002/acs.3522 10.1109/TCSII.2022.3184734 10.1007/s11082-022-04286-3 10.1016/j.neucom.2023.127045 10.1016/j.chaos.2024.114880 10.1002/rnc.4966 10.1007/s40815-022-01384-y 10.1007/s11071-022-08112-z 10.1109/JAS.2023.123831 10.1080/00207721.2024.2304670 |
| ContentType | Journal Article |
| Copyright | 2025 John Wiley & Sons Ltd. |
| Copyright_xml | – notice: 2025 John Wiley & Sons Ltd. |
| DBID | AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1002/acs.3998 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | CrossRef Technology Research Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1099-1115 |
| EndPage | 1161 |
| ExternalDocumentID | 10_1002_acs_3998 |
| GroupedDBID | -~X .3N .GA .Y3 05W 0R~ 10A 1L6 1OB 1OC 31~ 33P 3EH 3SF 3WU 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAYXX AAZKR ABCQN ABCUV ABEML ABIJN ABJNI ACAHQ ACBWZ ACCZN ACGFO ACGFS ACIWK ACPOU ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN AEFGJ AEIGN AEIMD AENEX AEUYR AEYWJ AFBPY AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AIAGR AIDQK AIDYY AITYG AIURR AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMVHM AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CITATION CMOOK CS3 D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EBS EJD F00 F01 F04 F5P FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ 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 PQQKQ Q.N Q11 QB0 QRW R.K RIWAO RJQFR ROL RX1 SAMSI SUPJJ TUS UB1 V2E W8V W99 WBKPD WIH WIK WJL WLBEL WOHZO WQJ WXSBR WYISQ XG1 XPP XV2 ZZTAW ~IA ~WT 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c218t-206be1d9e1d5cf97e6a0b1a6f2684f499eaae9d2c9cc594cb0fcb04bb9cecdad3 |
| ISSN | 0890-6327 |
| IngestDate | Sat Aug 23 13:23:27 EDT 2025 Wed Sep 10 04:47:53 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c218t-206be1d9e1d5cf97e6a0b1a6f2684f499eaae9d2c9cc594cb0fcb04bb9cecdad3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-2982-4332 0000-0002-8553-6167 |
| PQID | 3228949789 |
| PQPubID | 996374 |
| PageCount | 13 |
| ParticipantIDs | proquest_journals_3228949789 crossref_primary_10_1002_acs_3998 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-06-00 20250601 |
| PublicationDateYYYYMMDD | 2025-06-01 |
| PublicationDate_xml | – month: 06 year: 2025 text: 2025-06-00 |
| PublicationDecade | 2020 |
| PublicationPlace | Bognor Regis |
| PublicationPlace_xml | – name: Bognor Regis |
| PublicationTitle | International journal of adaptive control and signal processing |
| PublicationYear | 2025 |
| Publisher | Wiley Subscription Services, Inc |
| Publisher_xml | – name: Wiley Subscription Services, Inc |
| References | e_1_2_8_28_1 e_1_2_8_29_1 e_1_2_8_24_1 e_1_2_8_25_1 e_1_2_8_26_1 e_1_2_8_27_1 Wang G. (e_1_2_8_33_1) 2020; 68 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_23_1 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_30_1 |
| References_xml | – ident: e_1_2_8_8_1 doi: 10.1016/j.automatica.2023.111063 – ident: e_1_2_8_18_1 doi: 10.1016/j.nahs.2023.101334 – ident: e_1_2_8_35_1 doi: 10.1080/00207721.2022.2158446 – ident: e_1_2_8_2_1 doi: 10.1016/j.amc.2023.127992 – ident: e_1_2_8_42_1 doi: 10.1007/s11071-022-07573-6 – ident: e_1_2_8_34_1 doi: 10.1016/0167-6911(83)90021-X – ident: e_1_2_8_38_1 doi: 10.1109/TSMC.2021.3050993 – ident: e_1_2_8_7_1 doi: 10.1016/j.measurement.2024.114344 – ident: e_1_2_8_17_1 doi: 10.1109/TAC.2000.880994 – ident: e_1_2_8_28_1 doi: 10.1109/TITS.2023.3234910 – ident: e_1_2_8_30_1 doi: 10.1016/j.automatica.2020.109268 – ident: e_1_2_8_36_1 doi: 10.3390/electronics12081830 – ident: e_1_2_8_32_1 doi: 10.1016/j.aeue.2023.154841 – ident: e_1_2_8_41_1 doi: 10.1016/j.oceaneng.2022.113541 – ident: e_1_2_8_37_1 doi: 10.1109/TSMC.2021.3103276 – ident: e_1_2_8_6_1 doi: 10.1002/acs.3565 – ident: e_1_2_8_9_1 doi: 10.1016/j.neunet.2023.09.019 – ident: e_1_2_8_11_1 doi: 10.1177/01423312231166435 – ident: e_1_2_8_14_1 doi: 10.1109/TFUZZ.2020.2982618 – ident: e_1_2_8_40_1 doi: 10.1109/TCYB.2021.3079129 – ident: e_1_2_8_20_1 doi: 10.1016/j.cnsns.2023.107697 – ident: e_1_2_8_22_1 doi: 10.1002/acs.3598 – ident: e_1_2_8_27_1 doi: 10.1109/ACCESS.2022.3153839 – ident: e_1_2_8_10_1 doi: 10.1016/j.cnsns.2022.106675 – ident: e_1_2_8_19_1 doi: 10.1080/00207721.2023.2277708 – ident: e_1_2_8_12_1 doi: 10.1080/00207721.2022.2076175 – ident: e_1_2_8_25_1 doi: 10.1109/TSMC.2021.3099808 – ident: e_1_2_8_29_1 doi: 10.1109/TIE.2023.3239926 – ident: e_1_2_8_15_1 doi: 10.1109/TFUZZ.2023.3298385 – ident: e_1_2_8_4_1 doi: 10.1016/j.cma.2023.116641 – ident: e_1_2_8_3_1 doi: 10.1002/acs.3522 – ident: e_1_2_8_26_1 doi: 10.1109/TCSII.2022.3184734 – volume: 68 start-page: 938 issue: 3 year: 2020 ident: e_1_2_8_33_1 article-title: Distributed Consensus of Nonlinear Multi‐Agent Systems With Mismatched Uncertainties and Unknown High‐Frequency Gains publication-title: IEEE Transactions on Circuits and Systems II: Express Briefs – ident: e_1_2_8_5_1 doi: 10.1007/s11082-022-04286-3 – ident: e_1_2_8_16_1 doi: 10.1016/j.neucom.2023.127045 – ident: e_1_2_8_23_1 doi: 10.1016/j.chaos.2024.114880 – ident: e_1_2_8_24_1 doi: 10.1002/rnc.4966 – ident: e_1_2_8_13_1 doi: 10.1007/s40815-022-01384-y – ident: e_1_2_8_39_1 doi: 10.1007/s11071-022-08112-z – ident: e_1_2_8_31_1 doi: 10.1109/JAS.2023.123831 – ident: e_1_2_8_21_1 doi: 10.1080/00207721.2024.2304670 |
| SSID | ssj0009913 |
| Score | 2.3961768 |
| Snippet | This article proposes an event‐triggered command filtering adaptive fuzzy tracking control strategy for nonlinear systems with multiple unknown high‐frequency... |
| SourceID | proquest crossref |
| SourceType | Aggregation Database Index Database |
| StartPage | 1149 |
| SubjectTerms | Actuators Complexity Constraints Control systems Controllers Filtration Fuzzy logic Fuzzy systems Nonlinear control Nonlinear systems Nonlinearity Redundancy Tracking control Tracking errors |
| Title | Novel Command‐Filtered Event‐Triggered Control for High‐Frequency Gains Nonlinear Systems Under Multiactuator Constraints |
| URI | https://www.proquest.com/docview/3228949789 |
| Volume | 39 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nj9MwELXKcoED4lMsLMhI3KqUxI3T-IhWLSu0FAmlUm-R7ThLDtuW0iLBBX4Cv48jv4Tx2E5SgdDCIVFlt1HleR7POG-eCXk-jnOV1SaLRM5NlBrwgwoW5kiZJJnIVGQ5lo-9mWdni_T1ki8Hgx891tJ-p0b6yx_rSv7HqtAGdrVVsv9g2fah0ACfwb5wBwvD_Uo2nq8_GZv7X15aemKgLcwa-wYcAsmp5TK2zQXk4RfYfurp6ZZhaHke3S-3jlj9efhKWurM3OloyG0QNh_iMUlDrNqVtvQEMnY88xNPmnCiUCHUPdxr7ClUyEpukLAUaPK4d99c2O6Nq1sI66ml9vhDV7AM4kPTEoiaPW7p78EfrbtG3Mx933RgxSWmqf0c8NsbjHc0rCs60b7DFJAKj53WwMg4h24VSMGf877Hd_JJHtl99w3JoeiFAknihOJ_W2acbK3UH0cQ3-XdUhroA_O35Wxxfl4W02VxjVxnk4mjELzrpM0gLkf2Q_jPQRg5Zi_Ccw9DpcNIAcOf4ja55fMW-tKB8A4ZmNVdcrOnZnmPfEU4Ug_Hn9--ByBSBCI0tBCkHoIUIEgtBO23A_gogo-24KMefBTBRw_AR3vgu08Ws2lxehb58z0iDYHlDqZyBi6hEnBxXYuJyWSsEpnVVoGohlTcSGlExbTQmotUq7iGK1VKaKMrWY0fkKPVemUeEmpfJvM659IwnTLJZQVpgUozmWhVxSo_Js_CUJYbJ-NSOsFuVsJwl3a4j8lJGOPSTwroYCwX9hRG8ejv3Y_JjQ6-J-Rot92bJxCv7tRTNPwvHGuhew |
| linkProvider | Wiley-Blackwell |
| 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=Novel+Command%E2%80%90Filtered+Event%E2%80%90Triggered+Control+for+High%E2%80%90Frequency+Gains+Nonlinear+Systems+Under+Multiactuator+Constraints&rft.jtitle=International+journal+of+adaptive+control+and+signal+processing&rft.au=Jing%2C+Changqi&rft.au=Liu%2C+Guobao&rft.au=Li%2C+Shi&rft.au=Hu%2C+Yifan&rft.date=2025-06-01&rft.pub=Wiley+Subscription+Services%2C+Inc&rft.issn=0890-6327&rft.eissn=1099-1115&rft.volume=39&rft.issue=6&rft.spage=1149&rft.epage=1161&rft_id=info:doi/10.1002%2Facs.3998&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0890-6327&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0890-6327&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0890-6327&client=summon |