Supplementary Control for Quantized Discrete-Time Nonlinear Systems Under Goal Representation Heuristic Dynamic Programming
This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation heuristic dynamic programming (GrHDP), where a logarithmic quantizer is used to govern the network communication. For the addressed problem, a neu...
Uložené v:
| Vydané v: | IEEE transaction on neural networks and learning systems Ročník 35; číslo 3; s. 3202 - 3214 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
IEEE
01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Predmet: | |
| ISSN: | 2162-237X, 2162-2388, 2162-2388 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation heuristic dynamic programming (GrHDP), where a logarithmic quantizer is used to govern the network communication. For the addressed problem, a neural network (NN)-based observer is first proposed to estimate the unknown system state in the simultaneous presence of quantized influence. In light of the estimated states and the ideal control inputs via a zero-sum game, a GrHDP algorithm with a reinforced term is developed to implement the supplementary control task, where some novel weight updating rules are constructed by virtue of an additional tunable parameter to improve the system performance. Furthermore, a set of conditions about the stability of estimated error dynamics of both observer states and updated NNs' weights are derived by resorting to the Lyapunov stability theory. Finally, the effectiveness of the developed method is verified by a power system and a numerical experiment. |
|---|---|
| AbstractList | This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation heuristic dynamic programming (GrHDP), where a logarithmic quantizer is used to govern the network communication. For the addressed problem, a neural network (NN)-based observer is first proposed to estimate the unknown system state in the simultaneous presence of quantized influence. In light of the estimated states and the ideal control inputs via a zero-sum game, a GrHDP algorithm with a reinforced term is developed to implement the supplementary control task, where some novel weight updating rules are constructed by virtue of an additional tunable parameter to improve the system performance. Furthermore, a set of conditions about the stability of estimated error dynamics of both observer states and updated NNs’ weights are derived by resorting to the Lyapunov stability theory. Finally, the effectiveness of the developed method is verified by a power system and a numerical experiment. This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation heuristic dynamic programming (GrHDP), where a logarithmic quantizer is used to govern the network communication. For the addressed problem, a neural network (NN)-based observer is first proposed to estimate the unknown system state in the simultaneous presence of quantized influence. In light of the estimated states and the ideal control inputs via a zero-sum game, a GrHDP algorithm with a reinforced term is developed to implement the supplementary control task, where some novel weight updating rules are constructed by virtue of an additional tunable parameter to improve the system performance. Furthermore, a set of conditions about the stability of estimated error dynamics of both observer states and updated NNs' weights are derived by resorting to the Lyapunov stability theory. Finally, the effectiveness of the developed method is verified by a power system and a numerical experiment.This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation heuristic dynamic programming (GrHDP), where a logarithmic quantizer is used to govern the network communication. For the addressed problem, a neural network (NN)-based observer is first proposed to estimate the unknown system state in the simultaneous presence of quantized influence. In light of the estimated states and the ideal control inputs via a zero-sum game, a GrHDP algorithm with a reinforced term is developed to implement the supplementary control task, where some novel weight updating rules are constructed by virtue of an additional tunable parameter to improve the system performance. Furthermore, a set of conditions about the stability of estimated error dynamics of both observer states and updated NNs' weights are derived by resorting to the Lyapunov stability theory. Finally, the effectiveness of the developed method is verified by a power system and a numerical experiment. |
| Author | Ding, Derui Han, Qing-Long Wang, Xueli Ge, Xiaohua |
| Author_xml | – sequence: 1 givenname: Xueli surname: Wang fullname: Wang, Xueli email: xuelywang@163.com organization: Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China – sequence: 2 givenname: Derui orcidid: 0000-0001-7402-6682 surname: Ding fullname: Ding, Derui email: deruiding2010@usst.edu.cn organization: Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China – sequence: 3 givenname: Xiaohua orcidid: 0000-0003-0180-0897 surname: Ge fullname: Ge, Xiaohua email: xge@swin.edu.au organization: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia – sequence: 4 givenname: Qing-Long orcidid: 0000-0002-7207-0716 surname: Han fullname: Han, Qing-Long email: qhan@swin.edu.au organization: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36070268$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU9v1DAQxSPUipbSLwASssSFSxaPnTjOEW2hrbRa_uxW4mY5zqRyldjBdg4LX54su-2hB3wZH37vaea9V9mJ8w6z7A3QBQCtP27X69VmwShjC84olAxeZOcMBMsZl_Lk6V_9PMsuY3yg8xO0FEX9MjvjglaUCXme_dlM49jjgC7psCNL71LwPel8IN8n7ZL9jS25stEETJhv7YBk7V1vHepANruYcIjkzrUYyLXXPfmBY8C4d0vWO3KDU7AxWUOudk4P8_wW_H3Qw2Dd_evstNN9xMvjvMjuvnzeLm_y1dfr2-WnVW54CSnXkjVCtqxpBAhoeaW5wUZ2nLaVaUrUtMO6MpWBouRMdgB1o03TStlVtWSUX2QfDr5j8L8mjEkN80HY99qhn6JiFQCnlSiKGX3_DH3wU3DzdorVnAsAKGCm3h2pqRmwVWOww5yeeox1BuQBMMHHGLBTxh4SSUHbXgFV-xLVvxLVvkR1LHGWsmfSR_f_it4eRBYRnwS1lMCg5n8BbySpQg |
| CODEN | ITNNAL |
| CitedBy_id | crossref_primary_10_1016_j_sysconle_2024_105819 crossref_primary_10_1109_JAS_2023_123453 crossref_primary_10_1016_j_neucom_2025_130292 crossref_primary_10_1007_s40747_024_01728_1 crossref_primary_10_1109_JAS_2023_123195 crossref_primary_10_1002_oca_3020 crossref_primary_10_1007_s11071_024_10477_2 crossref_primary_10_1016_j_neucom_2025_130199 crossref_primary_10_1109_JAS_2023_123690 crossref_primary_10_1016_j_segan_2025_101718 crossref_primary_10_1109_TSMC_2024_3493965 crossref_primary_10_1016_j_oceaneng_2024_118251 crossref_primary_10_1016_j_neucom_2025_131608 crossref_primary_10_1016_j_neucom_2025_130203 crossref_primary_10_1109_JAS_2023_123843 crossref_primary_10_3390_electronics13061136 |
| Cites_doi | 10.1109/TASE.2020.2996160 10.1109/JAS.2021.1003922 10.1080/00207721.2022.2063967 10.1109/TNN.2007.900227 10.1109/TNNLS.2020.2976787 10.1016/j.neunet.2012.02.005 10.1016/j.automatica.2019.108714 10.1080/00207721.2021.1885082 10.1201/9781003062714 10.1109/tiv.2022.3184076 10.1016/j.neucom.2021.12.057 10.1109/tnnls.2021.3069728 10.1109/TSMCB.2008.926614 10.1080/00207721.2021.1872118 10.1109/4235.771166 10.1109/TCNS.2021.3049361 10.1109/TITS.2019.2895285 10.1109/TIE.2017.2674633 10.1109/TAC.2020.3034196 10.1080/00207721.2021.1998722 10.1109/MCS.2012.2214134 10.1002/9781118025604 10.1080/00207721.2021.1914768 10.1016/j.neunet.2009.06.014 10.1016/j.automatica.2004.11.034 10.1109/TPWRS.2016.2537984 10.1016/j.automatica.2021.109730 10.1109/TII.2017.2771256 10.1016/S0005-1098(03)00151-1 10.1109/TPWRS.2017.2720262 10.1109/TAC.2021.3081256 10.1016/j.ins.2018.07.047 10.1109/TSMC.2019.2897379 10.1109/TSMC.2018.2814018 10.1109/tac.2022.3170540 10.1109/41.661321 10.1109/JAS.2022.105416 10.1109/TNNLS.2016.2638863 10.1109/TNNLS.2018.2828315 10.1080/00207721.2021.1917721 10.1109/TNNLS.2019.2919697 10.1109/TNNLS.2015.2431734 10.1080/00207721.2022.2083257 10.1109/TNNLS.2020.3015376 10.1016/j.automatica.2018.05.027 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
| DBID | 97E RIA RIE AAYXX CITATION NPM 7QF 7QO 7QP 7QQ 7QR 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 8BQ 8FD F28 FR3 H8D JG9 JQ2 KR7 L7M L~C L~D P64 7X8 |
| DOI | 10.1109/TNNLS.2022.3201521 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef PubMed Aluminium Industry Abstracts Biotechnology Research Abstracts Calcium & Calcified Tissue Abstracts Ceramic Abstracts Chemoreception Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Neurosciences Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed Materials Research Database Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Materials Business File Aerospace Database Engineered Materials Abstracts Biotechnology Research Abstracts Chemoreception Abstracts Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Civil Engineering Abstracts Aluminium Industry Abstracts Electronics & Communications Abstracts Ceramic Abstracts Neurosciences Abstracts METADEX Biotechnology and BioEngineering Abstracts Computer and Information Systems Abstracts Professional Solid State and Superconductivity Abstracts Engineering Research Database Calcium & Calcified Tissue Abstracts Corrosion Abstracts MEDLINE - Academic |
| DatabaseTitleList | Materials Research Database MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 2162-2388 |
| EndPage | 3214 |
| ExternalDocumentID | 36070268 10_1109_TNNLS_2022_3201521 9881219 |
| Genre | orig-research Journal Article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61973219; 61933007 funderid: 10.13039/501100001809 |
| GroupedDBID | 0R~ 4.4 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK ACPRK AENEX AFRAH AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD IFIPE IPLJI JAVBF M43 MS~ O9- OCL PQQKQ RIA RIE RNS AAYXX CITATION NPM 7QF 7QO 7QP 7QQ 7QR 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 8BQ 8FD F28 FR3 H8D JG9 JQ2 KR7 L7M L~C L~D P64 7X8 |
| ID | FETCH-LOGICAL-c351t-a82b68d2bb6161d37a3ceb8f30d7cb5ea0fe97c7c145328f119bacbd88f798203 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 27 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000852220900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2162-237X 2162-2388 |
| IngestDate | Thu Oct 02 08:52:42 EDT 2025 Mon Jun 30 02:19:56 EDT 2025 Thu Jul 24 03:24:49 EDT 2025 Sat Nov 29 01:40:22 EST 2025 Tue Nov 18 22:11:38 EST 2025 Wed Aug 27 02:05:26 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c351t-a82b68d2bb6161d37a3ceb8f30d7cb5ea0fe97c7c145328f119bacbd88f798203 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-7207-0716 0000-0003-0180-0897 0000-0001-7402-6682 |
| PMID | 36070268 |
| PQID | 2933611141 |
| PQPubID | 85436 |
| PageCount | 13 |
| ParticipantIDs | proquest_journals_2933611141 ieee_primary_9881219 pubmed_primary_36070268 crossref_citationtrail_10_1109_TNNLS_2022_3201521 crossref_primary_10_1109_TNNLS_2022_3201521 proquest_miscellaneous_2711307644 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-01 |
| PublicationDateYYYYMMDD | 2024-03-01 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: Piscataway |
| PublicationTitle | IEEE transaction on neural networks and learning systems |
| PublicationTitleAbbrev | TNNLS |
| PublicationTitleAlternate | IEEE Trans Neural Netw Learn Syst |
| PublicationYear | 2024 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref35 ref12 ref34 ref15 ref37 ref14 ref36 ref31 ref30 ref11 ref33 ref10 ref32 ref2 ref1 ref17 ref39 ref16 ref38 ref19 ref18 ref24 ref23 ref45 ref26 ref25 ref20 ref42 ref41 ref22 ref44 ref21 ref43 ref28 ref27 ref29 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 |
| References_xml | – ident: ref15 doi: 10.1109/TASE.2020.2996160 – ident: ref26 doi: 10.1109/JAS.2021.1003922 – ident: ref43 doi: 10.1080/00207721.2022.2063967 – ident: ref8 doi: 10.1109/TNN.2007.900227 – ident: ref13 doi: 10.1109/TNNLS.2020.2976787 – ident: ref21 doi: 10.1016/j.neunet.2012.02.005 – ident: ref33 doi: 10.1016/j.automatica.2019.108714 – ident: ref1 doi: 10.1080/00207721.2021.1885082 – ident: ref38 doi: 10.1201/9781003062714 – ident: ref44 doi: 10.1109/tiv.2022.3184076 – ident: ref18 doi: 10.1016/j.neucom.2021.12.057 – ident: ref6 doi: 10.1109/tnnls.2021.3069728 – ident: ref23 doi: 10.1109/TSMCB.2008.926614 – ident: ref27 doi: 10.1080/00207721.2021.1872118 – ident: ref39 doi: 10.1109/4235.771166 – ident: ref45 doi: 10.1109/TCNS.2021.3049361 – ident: ref14 doi: 10.1109/TITS.2019.2895285 – ident: ref42 doi: 10.1109/TIE.2017.2674633 – ident: ref29 doi: 10.1109/TAC.2020.3034196 – ident: ref2 doi: 10.1080/00207721.2021.1998722 – ident: ref7 doi: 10.1109/MCS.2012.2214134 – ident: ref16 doi: 10.1002/9781118025604 – ident: ref31 doi: 10.1080/00207721.2021.1914768 – ident: ref22 doi: 10.1016/j.neunet.2009.06.014 – ident: ref5 doi: 10.1016/j.automatica.2004.11.034 – ident: ref11 doi: 10.1109/TPWRS.2016.2537984 – ident: ref28 doi: 10.1016/j.automatica.2021.109730 – ident: ref20 doi: 10.1109/TII.2017.2771256 – ident: ref35 doi: 10.1016/S0005-1098(03)00151-1 – ident: ref17 doi: 10.1109/TPWRS.2017.2720262 – ident: ref30 doi: 10.1109/TAC.2021.3081256 – ident: ref41 doi: 10.1016/j.ins.2018.07.047 – ident: ref24 doi: 10.1109/TSMC.2019.2897379 – ident: ref19 doi: 10.1109/TSMC.2018.2814018 – ident: ref34 doi: 10.1109/tac.2022.3170540 – ident: ref9 doi: 10.1109/41.661321 – ident: ref3 doi: 10.1109/JAS.2022.105416 – ident: ref25 doi: 10.1109/TNNLS.2016.2638863 – ident: ref37 doi: 10.1109/TNNLS.2018.2828315 – ident: ref32 doi: 10.1080/00207721.2021.1917721 – ident: ref36 doi: 10.1109/TNNLS.2019.2919697 – ident: ref12 doi: 10.1109/TNNLS.2015.2431734 – ident: ref4 doi: 10.1080/00207721.2022.2083257 – ident: ref10 doi: 10.1109/TNNLS.2020.3015376 – ident: ref40 doi: 10.1016/j.automatica.2018.05.027 |
| SSID | ssj0000605649 |
| Score | 2.550754 |
| Snippet | This article is concerned with supplementary control of discrete-time nonlinear systems with multiple controllers in the framework of goal representation... |
| SourceID | proquest pubmed crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 3202 |
| SubjectTerms | Algorithms Artificial neural networks Control systems Control tasks Discrete time systems Dynamic programming Dynamic stability Frequency modulation Goal programming Goal representation heuristic dynamic programming (GrHDP) Hamilton–Jacobi–Isaacs (HJI) equation Heuristic Neural networks Nonlinear control Nonlinear systems Observers Power system stability Problem solving quantization Quantization (signal) Representations supplementary control System performance Zero sum games |
| Title | Supplementary Control for Quantized Discrete-Time Nonlinear Systems Under Goal Representation Heuristic Dynamic Programming |
| URI | https://ieeexplore.ieee.org/document/9881219 https://www.ncbi.nlm.nih.gov/pubmed/36070268 https://www.proquest.com/docview/2933611141 https://www.proquest.com/docview/2711307644 |
| Volume | 35 |
| WOSCitedRecordID | wos000852220900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 2162-2388 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000605649 issn: 2162-237X databaseCode: RIE dateStart: 20120101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3fT9UwFD5BQgwvIqJ4AUlNeNPB1u6u3aMBgQeyoGBy35b-OEtuArvmcmei_POcttvig5r4tmTduuw77fe1PT8AjizNehZpmeoE2iRvhN9oQp0YoifrCHOjTCg2IatKzWbl9Rp8HGNhEDE4n-Gxvwxn-W5hO79VdlIqoiOf4_OZlDLGao37KSnp8iKoXZ4VPOFCzoYYmbQ8ua2qqxtaDXJ-LIjyiLM24bkoyN65T7L6GyWFGit_l5uBds63_u-DX8KLXl6yT9EetmEN21ewNZRuYP1I3oHHUM0zeo4vf7LT6LDOSMGyLx397PkvdOxsTnMKierEx4mwKibV0PSWmOWchZpJ7GJBHX4NDrV9HFPLLrGLGaDZWax4z66jH9g9MeVr-Hb--fb0MunrMCRWTLNVohU3hXLcmIL0oRNSC4tGNSJ10pop6rTBUlpps3wquGoyQlhb45RqZEkKQ7yB9XbR4ltgxlpTap03qDHPMqmNKIhCTWqEy8u0mUA2QFHbPkm5r5VxV4fFSlrWAcnaI1n3SE7gw_jM95ii45-tdzxOY8seogkcDIjX_Sh-qEkKiYLIIKen3o-3afz5QxXd4qKjNjIjGSBJVk5gN1rK-O7BwPb-3Oc-bNKX5dGj7QDWV8sO38GG_bGaPywPychn6jAY-RMmxvjc |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3LbtQwFL2qCoJuKFCgAwWMxA7Sxo-JnSVqKYMYogKDNLvIr0gjQaaaTpCAn-faTiIWgMQuUpw4yrn2ObbvA-C5xVnPelymOu5tJhoeNpq8zgzSk3WIuVEmFpuQVaWWy_JiB16OsTDe--h85o_DZTzLd2vbha2yk1IhHYUcn9emQjCaorXGHZUclXkR9S6jBcsYl8shSiYvTxZVNf-E60HGjjmSHrLWHtzgBVo8C2lWfyOlWGXl74IzEs_5_v998m241QtM8ipZxB3Y8e1d2B-KN5B-LB_Az1jPM_mOb76T0-SyTlDDkg8d_u7VD-_I2QpnFZTVWYgUIVVKq6HxLSnPOYlVk8ibNXb4MbrU9pFMLZn5LuWAJmep5j25SJ5gX5Er78Hn89eL01nWV2LILJ_SbaYVM4VyzJgCFaLjUnPrjWp47qQ1U6_zxpfSSkvFlDPVUMRYW-OUamSJGoPfh9123fpDIMZaU2otGq-9oFRqwwskUZMb7kSZNxOgAxS17dOUh2oZX-q4XMnLOiJZByTrHskJvBifuUxJOv7Z-iDgNLbsIZrA0YB43Y_jqxrFEC-QDgQ-9Wy8jSMwHKvo1q87bCMpCgGJwnICD5KljO8eDOzhn_t8Cjdni_fzev62evcI9vArRfJvO4Ld7abzj-G6_bZdXW2eRFP_BVs3-zs |
| 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=Supplementary+Control+for+Quantized+Discrete-Time+Nonlinear+Systems+Under+Goal+Representation+Heuristic+Dynamic+Programming&rft.jtitle=IEEE+transaction+on+neural+networks+and+learning+systems&rft.au=Wang%2C+Xueli&rft.au=Ding%2C+Derui&rft.au=Ge%2C+Xiaohua&rft.au=Qing-Long%2C+Han&rft.date=2024-03-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=2162-237X&rft.eissn=2162-2388&rft.volume=35&rft.issue=3&rft.spage=3202&rft_id=info:doi/10.1109%2FTNNLS.2022.3201521&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2162-237X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2162-237X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2162-237X&client=summon |