Adaptive dynamic programming for decentralized neuro‐control of nonlinear systems subject to mismatched interconnections
This article presents a decentralized neuro‐control scheme for a class of continuous‐time nonlinear systems with mismatched interconnections through an optimal control method. The decentralized control problem of the studied nonlinear‐interconnected systems is transformed into a group of optimal con...
Saved in:
| Published in | Optimal control applications & methods Vol. 43; no. 5; pp. 1501 - 1519 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Glasgow
Wiley Subscription Services, Inc
01.09.2022
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0143-2087 1099-1514 |
| DOI | 10.1002/oca.2905 |
Cover
| Abstract | This article presents a decentralized neuro‐control scheme for a class of continuous‐time nonlinear systems with mismatched interconnections through an optimal control method. The decentralized control problem of the studied nonlinear‐interconnected systems is transformed into a group of optimal control problems of auxiliary subsystems. First, the value functions of auxiliary subsystems are designed, which are related to the boundaries of interconnected terms. It is proved that, under certain conditions, the decentralized control consisting of optimal control policies of auxiliary subsystems can stabilize the entire interconnected system. Then, an adaptive dynamic programming algorithm is presented to solve the Hamilton–Jacobi–Bellman equations. Critic neural networks (NNs) are employed to approximate the value functions of auxiliary subsystems in order to acquire the optimal control policies. Moreover, the auxiliary subsystems' states and the critic NNs' weight estimation errors are proved to be uniformly ultimately bounded. Finally, a numerical example and an interconnected power system are provided to validate the proposed decentralized neuro‐control strategy. |
|---|---|
| AbstractList | This article presents a decentralized neuro‐control scheme for a class of continuous‐time nonlinear systems with mismatched interconnections through an optimal control method. The decentralized control problem of the studied nonlinear‐interconnected systems is transformed into a group of optimal control problems of auxiliary subsystems. First, the value functions of auxiliary subsystems are designed, which are related to the boundaries of interconnected terms. It is proved that, under certain conditions, the decentralized control consisting of optimal control policies of auxiliary subsystems can stabilize the entire interconnected system. Then, an adaptive dynamic programming algorithm is presented to solve the Hamilton–Jacobi–Bellman equations. Critic neural networks (NNs) are employed to approximate the value functions of auxiliary subsystems in order to acquire the optimal control policies. Moreover, the auxiliary subsystems' states and the critic NNs' weight estimation errors are proved to be uniformly ultimately bounded. Finally, a numerical example and an interconnected power system are provided to validate the proposed decentralized neuro‐control strategy. |
| Author | Tang, Yuhong Dong, Na Yang, Xiong |
| Author_xml | – sequence: 1 givenname: Yuhong surname: Tang fullname: Tang, Yuhong organization: Tianjin University – sequence: 2 givenname: Xiong orcidid: 0000-0002-0128-3036 surname: Yang fullname: Yang, Xiong email: xiong.yang@tju.edu.cn organization: Tianjin University – sequence: 3 givenname: Na surname: Dong fullname: Dong, Na organization: Tianjin University |
| BookMark | eNp1kMtuGyEUhlGVSHUuUh8BqZtuxjkwxpilZbVJpEjetOsRAwcHawZcwK2cVR4hz9gnCY67itoV0uH7z-W7IGchBiTkE4MpA-A30egpVyA-kAkDpRom2OyMTIDN2obDQn4kFzlvAUCylk_I09LqXfG_kNpD0KM3dJfiJulx9GFDXUzUosFQkh78E1oacJ_in-cXE2stDjQ6WhcYfECdaD7kgmOmed9v0RRaIh19HnUxjzXqQ8FUc6F--RjyFTl3esh4_fe9JD--ff2-umse1rf3q-VDYzhvRdP3YqY1V3NwVkl0AhQoKTRqOWNSLZiRei4W1jmYz3WPgrfK9dIKa6SwPbSX5POpb73s5x5z6bZxn0Id2XEJi-qKcVapLyfKpJhzQtftkh91OnQMuqPZrprtjmYrOn2HGl_08aaqyQ__CjSnwG8_4OG_jbv1avnGvwJ4MI_Z |
| CitedBy_id | crossref_primary_10_1002_oca_3046 crossref_primary_10_1002_acs_3642 crossref_primary_10_1002_rnc_6365 |
| Cites_doi | 10.1109/TPWRS.2016.2626315 10.1007/978-3-642-99970-3 10.1109/TAC.2019.2926167 10.1109/TCYB.2019.2946122 10.1016/j.epsr.2004.06.011 10.1049/iet-cta.2016.1383 10.1109/TNNLS.2013.2280013 10.1002/oca.2391 10.1016/j.neucom.2019.02.034 10.1109/TAC.2018.2829473 10.1016/0893-6080(90)90005-6 10.1109/TNNLS.2016.2582849 10.1109/TNNLS.2017.2693205 10.1002/oca.2735 10.1109/TNNLS.2018.2869896 10.1109/TFUZZ.2021.3089031 10.1109/TCYB.2019.2926631 10.1016/S0005-1098(97)00128-3 10.1109/TCYB.2018.2821369 10.1109/TFUZZ.2017.2686373 10.1007/s00500-017-2526-6 10.1016/j.arcontrol.2008.03.004 10.1049/PBCE081E 10.1002/9780470059579 10.1109/TCYB.2019.2926248 10.1109/JAS.2017.7510739 10.1109/TCYB.2018.2823199 10.1109/TNNLS.2019.2959005 10.1109/TMECH.2019.2928699 10.1109/TIE.2020.3001840 10.1109/TFUZZ.2020.2992632 10.1002/oca.2784 10.1007/978-3-319-50815-3 10.1109/TCYB.2016.2623859 10.1016/j.automatica.2010.02.018 10.1109/TCYB.2020.3037321 10.1109/TSMC.2017.2690665 10.1109/TFUZZ.2020.3036706 10.1016/j.neunet.2018.05.005 10.1109/TIE.2014.2345343 10.1109/JAS.2016.7510262 10.1109/TNNLS.2015.2503980 10.1109/TNNLS.2019.2899594 |
| ContentType | Journal Article |
| Copyright | 2022 John Wiley & Sons Ltd. 2022 John Wiley & Sons, Ltd. |
| Copyright_xml | – notice: 2022 John Wiley & Sons Ltd. – notice: 2022 John Wiley & Sons, Ltd. |
| DBID | AAYXX CITATION 7SP 8FD JQ2 L7M |
| DOI | 10.1002/oca.2905 |
| 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 | CrossRef Technology Research Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1099-1514 |
| EndPage | 1519 |
| ExternalDocumentID | 10_1002_oca_2905 OCA2905 |
| Genre | article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China funderid: 61973228 |
| 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 AAMMB AAYXX AEFGJ AEYWJ AGHNM AGQPQ AGXDD AGYGG AIDQK AIDYY AIQQE AMVHM CITATION 7SP 8FD JQ2 L7M |
| ID | FETCH-LOGICAL-c2235-bb54aa2960fd97ef5090975aea7417981c7a658dff066abe5239fb7d5dc75db03 |
| IEDL.DBID | DR2 |
| ISSN | 0143-2087 |
| IngestDate | Fri Jul 25 06:06:01 EDT 2025 Wed Oct 01 03:32:16 EDT 2025 Thu Apr 24 23:08:47 EDT 2025 Wed Jan 22 16:22:28 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2235-bb54aa2960fd97ef5090975aea7417981c7a658dff066abe5239fb7d5dc75db03 |
| Notes | Funding information National Natural Science Foundation of China, Grant/Award Number: 61973228 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-0128-3036 |
| PQID | 2708905121 |
| PQPubID | 1036362 |
| PageCount | 19 |
| ParticipantIDs | proquest_journals_2708905121 crossref_primary_10_1002_oca_2905 crossref_citationtrail_10_1002_oca_2905 wiley_primary_10_1002_oca_2905_OCA2905 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | September/October 2022 2022-09-00 20220901 |
| PublicationDateYYYYMMDD | 2022-09-01 |
| PublicationDate_xml | – month: 09 year: 2022 text: September/October 2022 |
| PublicationDecade | 2020 |
| PublicationPlace | Glasgow |
| PublicationPlace_xml | – name: Glasgow |
| PublicationTitle | Optimal control applications & methods |
| PublicationYear | 2022 |
| Publisher | Wiley Subscription Services, Inc |
| Publisher_xml | – name: Wiley Subscription Services, Inc |
| References | 2021; 68 2018; 29 2021; 42 2017; 4 2012 2019; 30 2017; 47 2018; 105 2017; 28 2019; 1 2021; 29 2014; 25 2007 2006 2008; 32 2022; 43 1970 2002 2018; 22 2021; 51 2018; 26 2018; 48 2019; 340 1999 1990; 3 2018; 39 2018; 5 2010; 46 2020; 31 1997; 33 2020; 30 2015; 62 2021 2020; 50 2020 2019; 24 2017; 11 2017; 32 2005; 73 2019; 49 2017 2020; 65 e_1_2_11_32_1 e_1_2_11_30_1 e_1_2_11_13_1 e_1_2_11_34_1 e_1_2_11_11_1 e_1_2_11_29_1 e_1_2_11_6_1 e_1_2_11_27_1 e_1_2_11_4_1 e_1_2_11_48_1 e_1_2_11_2_1 Guo W (e_1_2_11_20_1) 2018; 29 Lewis F (e_1_2_11_45_1) 1999 Yang X (e_1_2_11_8_1) 2020; 50 e_1_2_11_47_1 e_1_2_11_24_1 e_1_2_11_41_1 e_1_2_11_22_1 e_1_2_11_43_1 e_1_2_11_17_1 e_1_2_11_15_1 e_1_2_11_38_1 e_1_2_11_19_1 Khalil HK (e_1_2_11_36_1) 2002 e_1_2_11_50_1 e_1_2_11_10_1 e_1_2_11_31_1 e_1_2_11_14_1 e_1_2_11_35_1 e_1_2_11_12_1 e_1_2_11_33_1 e_1_2_11_7_1 e_1_2_11_28_1 e_1_2_11_5_1 e_1_2_11_26_1 e_1_2_11_3_1 e_1_2_11_49_1 Abu‐Khalaf M (e_1_2_11_42_1) 2006 e_1_2_11_21_1 e_1_2_11_44_1 e_1_2_11_46_1 e_1_2_11_25_1 e_1_2_11_40_1 e_1_2_11_9_1 e_1_2_11_23_1 e_1_2_11_18_1 e_1_2_11_16_1 e_1_2_11_37_1 e_1_2_11_39_1 |
| References_xml | – volume: 48 start-page: 3337 issue: 12 year: 2018 end-page: 3348 article-title: Adaptive ‐learning for data‐based optimal output regulation with experience replay publication-title: IEEE Trans Cybern – volume: 31 start-page: 4907 issue: 11 year: 2020 end-page: 4919 article-title: Decentralized event‐triggered online adaptive control of unknown large‐scale systems over wireless communication networks publication-title: IEEE Trans Neural Netw Learn Syst – volume: 51 start-page: 2419 issue: 5 year: 2021 end-page: 2432 article-title: Approximate dynamic programming for nonlinear‐constrained optimizations publication-title: IEEE Trans Cybern – volume: 32 start-page: 87 issue: 1 year: 2008 end-page: 98 article-title: Decentralized control: an overview publication-title: Annu Rev Control – volume: 46 start-page: 878 issue: 5 year: 2010 end-page: 888 article-title: Online actor–critic algorithm to solve the continuous‐time infinite horizon optimal control problem publication-title: Automatica – volume: 47 start-page: 3341 issue: 10 year: 2017 end-page: 3354 article-title: Policy gradient adaptive dynamic programming for data‐based optimal control publication-title: IEEE Trans Cybern – volume: 5 start-page: 36 issue: 1 year: 2018 end-page: 46 article-title: Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming publication-title: IEEE/CAA J Automat Sin – year: 2007 – volume: 49 start-page: 2255 issue: 6 year: 2019 end-page: 2267 article-title: Adaptive critic designs for event‐triggered robust control of nonlinear systems with unknown dynamics publication-title: IEEE Trans Cybern – volume: 29 start-page: 2846 issue: 7 year: 2018 end-page: 2856 article-title: Event‐triggered distributed approximate optimal state and output control of affine nonlinear interconnected systems publication-title: IEEE Trans Neural Netw Learn Syst – volume: 22 start-page: 2705 issue: 8 year: 2018 end-page: 2715 article-title: Decentralsized adaptive optimal stabilization of nonlinear systems with matched interconnections publication-title: Soft Comput – volume: 4 start-page: 168 issue: 2 year: 2017 end-page: 176 article-title: Optimal constrained self‐learning battery sequential management in microgrid via adaptive dynamic programming publication-title: IEEE/CAA J Automat Sin – volume: 50 start-page: 2870 issue: 8 year: 2020 end-page: 2882 article-title: Adaptive dynamic programming for decentralized stabilization of uncertain nonlinear large‐scale systems with mismatched interconnections publication-title: IEEE Trans Syst Man Cybern Syst – volume: 39 start-page: 1011 issue: 2 year: 2018 end-page: 1028 article-title: Online reinforcement learning for a class of partially unknown continuous‐time nonlinear systems via value iteration publication-title: Opt Control Appl Methods – volume: 32 start-page: 3157 issue: 4 year: 2017 end-page: 3167 article-title: Load following of multiple heterogeneous TCL aggregators by centralized control publication-title: IEEE Trans Power Syst – volume: 29 start-page: 2794 issue: 7 year: 2018 end-page: 2807 article-title: Policy approximation in policy iteration approximate dynamic programming for discrete‐time nonlinear systems publication-title: IEEE Trans Neural Netw Learn Syst – volume: 65 start-page: 1272 issue: 3 year: 2020 end-page: 1279 article-title: Self‐learning optimal regulation for discrete‐time nonlinear systems under event‐driven formulation publication-title: IEEE Trans Autom Contr – volume: 29 start-page: 2088 issue: 8 year: 2021 end-page: 2099 article-title: Nonsingular finite‐time event‐triggered fuzzy control for large‐scale nonlinear systems publication-title: IEEE Trans Fuzzy Syst – volume: 30 start-page: 1512 issue: 5 year: 2019 end-page: 1522 article-title: Approximate optimal distributed control of nonlinear interconnected systems using event‐triggered nonzero‐sum games publication-title: IEEE Trans Neural Netw Learn Syst – year: 2012 – volume: 48 start-page: 1725 issue: 10 year: 2018 end-page: 1735 article-title: Decentralized control for large‐scale nonlinear systems with unknown mismatched interconnections via policy iteration publication-title: IEEE Trans Syst Man Cybern Syst – volume: 73 start-page: 275 issue: 3 year: 2005 end-page: 285 article-title: A multi‐task automatic generation control for power regulation publication-title: Electr Power Syst Res – volume: 28 start-page: 704 issue: 3 year: 2017 end-page: 713 article-title: Off‐policy integral reinforcement learning method to solve nonlinear continuous‐time multiplayer nonzero‐sum games publication-title: IEEE Trans Neural Netw Learn Syst – volume: 30 start-page: 270 issue: 1 year: 2020 end-page: 278 article-title: Fuzzy optimal tracking control of hypersonic flight vehicles via single‐network adaptive critic design publication-title: IEEE Trans Fuzzy Syst – volume: 43 start-page: 198 issue: 1 year: 2022 end-page: 212 article-title: Adaptive critic optimization to decentralized event‐triggered control of continuous‐time nonlinear interconnected systems publication-title: Opt Control Appl Methods – volume: 25 start-page: 418 issue: 2 year: 2014 end-page: 428 article-title: Decentralized stabilization for a class of continuous‐time nonlinear interconnected systems using online learning optimal control approach publication-title: IEEE Trans Neural Netw Learn Syst – volume: 1 start-page: 66 issue: 64 year: 2019 end-page: 80 article-title: Transformation of optimal centralized controllers into near‐globally optimal static distributed controllers publication-title: IEEE Trans Automat Contr – year: 2020 article-title: Adaptive‐critic design for decentralized event‐triggered control of constrained nonlinear interconnected systems within an identifier‐critic framework publication-title: IEEE Trans Cybern – volume: 50 start-page: 4958 issue: 12 year: 2020 end-page: 4971 article-title: Continuous‐time time‐varying policy iteration publication-title: IEEE Trans Cybern – volume: 11 start-page: 799 issue: 6 year: 2017 end-page: 806 article-title: Adaptive near‐optimal controllers for non‐linear decentralised feedback stabilisation problems publication-title: IET Control Theory Appl – volume: 68 start-page: 7362 issue: 8 year: 2021 end-page: 7369 article-title: Data‐driven iterative adaptive critic control toward an urban wastewater treatment plant publication-title: IEEE Trans Ind Electron – volume: 3 start-page: 551 issue: 5 year: 1990 end-page: 560 article-title: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks publication-title: Neural Netw – year: 2002 – volume: 31 start-page: 76 issue: 1 year: 2020 end-page: 88 article-title: Event‐triggered optimal control with performance guarantees using adaptive dynamic programming publication-title: IEEE Trans Neural Netw Learn Syst – volume: 105 start-page: 142 year: 2018 end-page: 153 article-title: Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections publication-title: Neural Netw – volume: 33 start-page: 2159 issue: 12 year: 1997 end-page: 2177 article-title: Galerkin approximations of the generalized Hamilton‐Jacobi‐Bellman equation publication-title: Automatica – year: 2006 – volume: 26 start-page: 569 issue: 2 year: 2018 end-page: 584 article-title: Observer‐based adaptive fuzzy decentralized optimal control design for strict‐feedback nonlinear large‐scale systems publication-title: IEEE Trans Fuzzy Syst – volume: 62 start-page: 2439 issue: 4 year: 2015 end-page: 2447 article-title: Decentralized adaptive optimal control of large‐scale systems with application to power systems publication-title: IEEE Trans Ind Electron – year: 2021 article-title: A simplified finite‐time fuzzy neural controller with prescribed performance applied to waverider aircraft publication-title: IEEE Trans Fuzzy Syst – volume: 42 start-page: 1365 issue: 5 year: 2021 end-page: 1384 article-title: Event‐triggered decentralized optimal fault tolerant control for mismatched interconnected nonlinear systems through adaptive dynamic programming publication-title: Opt Control Appl Methods – year: 1970 – volume: 51 start-page: 635 issue: 2 year: 2021 end-page: 648 article-title: Decentralized event‐triggered control for a class of nonlinear‐interconnected systems using reinforcement learning publication-title: IEEE Trans Cybern – year: 2017 – volume: 24 start-page: 1871 issue: 4 year: 2019 end-page: 1881 article-title: An adaptive critic design‐based fuzzy neural controller for hypersonic vehicles: predefined behavioral nonaffine control publication-title: IEEE/ASME Trans Mechatron – volume: 28 start-page: 500 issue: 3 year: 2017 end-page: 509 article-title: Value and policy iterations in optimal control and adaptive dynamic programming publication-title: IEEE Trans Neural Netw Learn Syst – volume: 340 start-page: 158 year: 2019 end-page: 170 article-title: Event‐trigger‐based robust control for nonlinear constrained‐input systems using reinforcement learning method publication-title: Neurocomputing – year: 1999 – ident: e_1_2_11_2_1 doi: 10.1109/TPWRS.2016.2626315 – ident: e_1_2_11_44_1 doi: 10.1007/978-3-642-99970-3 – ident: e_1_2_11_25_1 doi: 10.1109/TAC.2019.2926167 – ident: e_1_2_11_31_1 doi: 10.1109/TCYB.2019.2946122 – ident: e_1_2_11_35_1 doi: 10.1016/j.epsr.2004.06.011 – ident: e_1_2_11_29_1 doi: 10.1049/iet-cta.2016.1383 – ident: e_1_2_11_30_1 doi: 10.1109/TNNLS.2013.2280013 – ident: e_1_2_11_16_1 doi: 10.1002/oca.2391 – ident: e_1_2_11_28_1 doi: 10.1016/j.neucom.2019.02.034 – ident: e_1_2_11_3_1 doi: 10.1109/TAC.2018.2829473 – ident: e_1_2_11_41_1 doi: 10.1016/0893-6080(90)90005-6 – ident: e_1_2_11_27_1 doi: 10.1109/TNNLS.2016.2582849 – ident: e_1_2_11_33_1 doi: 10.1109/TNNLS.2017.2693205 – ident: e_1_2_11_48_1 doi: 10.1002/oca.2735 – volume-title: Neural Network Control of Robot Manipulators and Nonlinear Systems year: 1999 ident: e_1_2_11_45_1 – ident: e_1_2_11_7_1 doi: 10.1109/TNNLS.2018.2869896 – ident: e_1_2_11_11_1 – ident: e_1_2_11_50_1 doi: 10.1109/TFUZZ.2021.3089031 – ident: e_1_2_11_12_1 doi: 10.1109/TCYB.2019.2926631 – ident: e_1_2_11_39_1 doi: 10.1016/S0005-1098(97)00128-3 – ident: e_1_2_11_14_1 doi: 10.1109/TCYB.2018.2821369 – ident: e_1_2_11_4_1 doi: 10.1109/TFUZZ.2017.2686373 – ident: e_1_2_11_10_1 doi: 10.1007/s00500-017-2526-6 – ident: e_1_2_11_5_1 doi: 10.1016/j.arcontrol.2008.03.004 – ident: e_1_2_11_17_1 doi: 10.1049/PBCE081E – ident: e_1_2_11_37_1 doi: 10.1002/9780470059579 – ident: e_1_2_11_21_1 doi: 10.1109/TCYB.2019.2926248 – ident: e_1_2_11_19_1 doi: 10.1109/JAS.2017.7510739 – volume-title: Nonlinear Systems year: 2002 ident: e_1_2_11_36_1 – ident: e_1_2_11_22_1 doi: 10.1109/TCYB.2018.2823199 – ident: e_1_2_11_34_1 doi: 10.1109/TNNLS.2019.2959005 – volume: 50 start-page: 2870 issue: 8 year: 2020 ident: e_1_2_11_8_1 article-title: Adaptive dynamic programming for decentralized stabilization of uncertain nonlinear large‐scale systems with mismatched interconnections publication-title: IEEE Trans Syst Man Cybern Syst – ident: e_1_2_11_23_1 doi: 10.1109/TMECH.2019.2928699 – ident: e_1_2_11_26_1 doi: 10.1109/TIE.2020.3001840 – ident: e_1_2_11_47_1 doi: 10.1109/TFUZZ.2020.2992632 – ident: e_1_2_11_9_1 doi: 10.1002/oca.2784 – ident: e_1_2_11_40_1 doi: 10.1007/978-3-319-50815-3 – ident: e_1_2_11_13_1 doi: 10.1109/TCYB.2016.2623859 – ident: e_1_2_11_43_1 doi: 10.1016/j.automatica.2010.02.018 – ident: e_1_2_11_46_1 doi: 10.1109/TCYB.2020.3037321 – ident: e_1_2_11_32_1 doi: 10.1109/TSMC.2017.2690665 – volume: 29 start-page: 2794 issue: 7 year: 2018 ident: e_1_2_11_20_1 article-title: Policy approximation in policy iteration approximate dynamic programming for discrete‐time nonlinear systems publication-title: IEEE Trans Neural Netw Learn Syst – ident: e_1_2_11_24_1 doi: 10.1109/TFUZZ.2020.3036706 – volume-title: Nonlinear H2/H∞$$ {H}_2/{H}_{\infty } $$ Constrained Feedback Control: A Practical Design Approach Using Neural Networks year: 2006 ident: e_1_2_11_42_1 – ident: e_1_2_11_38_1 doi: 10.1016/j.neunet.2018.05.005 – ident: e_1_2_11_6_1 doi: 10.1109/TIE.2014.2345343 – ident: e_1_2_11_18_1 doi: 10.1109/JAS.2016.7510262 – ident: e_1_2_11_15_1 doi: 10.1109/TNNLS.2015.2503980 – ident: e_1_2_11_49_1 doi: 10.1109/TNNLS.2019.2899594 |
| SSID | ssj0007132 |
| Score | 2.2993612 |
| Snippet | This article presents a decentralized neuro‐control scheme for a class of continuous‐time nonlinear systems with mismatched interconnections through an optimal... |
| SourceID | proquest crossref wiley |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1501 |
| SubjectTerms | Adaptive algorithms Adaptive control adaptive dynamic programming Control methods Decentralized control Dynamic programming Interconnections mismatched interconnection Neural networks Nonlinear control Nonlinear systems Optimal control Policies reinforcement learning Subsystems |
| Title | Adaptive dynamic programming for decentralized neuro‐control of nonlinear systems subject to mismatched interconnections |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Foca.2905 https://www.proquest.com/docview/2708905121 |
| Volume | 43 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: Mathematics Source customDbUrl: eissn: 1099-1514 dateEnd: 20241101 omitProxy: false ssIdentifier: ssj0007132 issn: 0143-2087 databaseCode: AMVHM dateStart: 20120701 isFulltext: true titleUrlDefault: https://www.ebsco.com/products/research-databases/mathematics-source providerName: EBSCOhost – providerCode: PRVWIB databaseName: Wiley Online Library - Core collection (SURFmarket) issn: 0143-2087 databaseCode: DR2 dateStart: 19960101 customDbUrl: isFulltext: true eissn: 1099-1514 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007132 providerName: Wiley-Blackwell |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3PSyMxFMeDeNKDrqtitUoWRE9Tp5mmmTmWosjCriAKgochLz9A1Cqd9tLT_gn-jf4lvpfMWJUVxNMwTAKZ5CXvm_DyeYztS0A3IEAkBWSeoNom0ejn8NUZAtoVqaOLwn_-9k8ve7-v5FUdVUl3YSIf4vXAjWZGWK9pgmuojubQUFzqO6II-NJu1g-7qfM5OQr3XiJGL2ZoCLlquLOpOGoqvvdEc3n5VqQGL3Oyyq6b9sXgktvOdAIdM_uAbvzeD_xgK7X45INoLWtswY1-suU3SMJ1NhtY_UhLILcxVz2vI7ju8TNHhcutqwM6b2bO8sDDfP73VIe88wfPR7FxeswjJrri1RTouIdPHjiaFWpktBTLiVQxNhRoE-5WVBvs8uT4Ynia1PkZEoOiQiYAsqe1wD2Qt4VyHrVHWiipnVaU1yzvGqVR4FjvUddocLjnLTwoK61R0kKabbJFbJLbYlxLlUHfg4NC9sDbXOVAJB3iwfVNqlrssBmr0tTwcsqhcVdG7LIosTdL6s0W-_Va8jECO_5Tpt0Md1lP2aoUKs0JVia6LXYQxu3T-uXZcEDP7a8W3GFLgq5NhNi0NlucjKduF8XMBPaC2b4ALP30-Q |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ1LS8QwEMcH0YN68C2uzwiip641u9m0eFpEWd8gCh6EkieIT_Zx2ZMfwc_oJ3GmaV0VBfFUShNIk0nmP2HyC8CG0OgGuOZRqmueoNomUujn8NUZAtqlsaODwqdnjdZV_ehaXA_BbnkWJvAhPjbcaGbk6zVNcNqQ3h5QQ3Gtr_KU-KUj9QaGKaSILgbsKIy-eMhfrKEpJLIkz8Z8u6z51RcNBOZnmZr7mYNJuClbGNJL7qq9rq6a_jd44z9_YQomCv3JmsFgpmHIPc7A-Ccq4Sz0m1Y90yrIbLiunhVJXA_4maHIZdYVOZ23fWdZjsR8e3ktst7Zk2ePoXWqzQIpusM6PU07Pqz7xNCyUCajsVhGsIq2oVyb_HhFZw6uDvYv91pRcUVDZFBXiEhrUVeKYxjkbSqdR_kRp1IopyRdbZbsGKlQ41jvUdoo7TDsTb2WVlgjhdVxbR6GsUluAZgSsqYbXjudirr2NpGJJpgOIeEaJpYV2CoHKzMFv5yu0bjPAnmZZ9ibGfVmBdY_Sj4HZscPZZbL8c6KWdvJuIwT4pXxnQps5gP3a_3sfK9Jz8W_FlyD0dbl6Ul2cnh2vARjnE5R5KlqyzDcbffcCmqbrl7Nbfgddor5Gg |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3NahsxEMcH40BoD0nTpsRJ2qpQmtPaa9mydunJxDXul1tKDD4UFn1CaJMYr33xqY_QZ-yTdGa1a7slgZLTsqwEWmkk_SVmfgPwSmjcBrjmUao7nqDaJlK4z-GrMwS0S2NHgcKfxr3RpPt-KqY1eFPFwgQ-xPrCjWZGsV7TBHcz61sbaiiu9U2eEr90pyvShPz5Bl837Cg8ffHgv9hBU0hkRZ6Neauq-fdetBGY2zK12GeG-_CtamFwL_neXC5006z-gTfe8xcewV6pP1k_GMwB1Nz1Y3i4RSV8Aqu-VTNaBZkN6epZ6cR1hZ8ZilxmXenTeblylhVIzN8_f5Ve7-zGs-vQOjVngRSds3yp6caHLW4YWhbKZDQWywhWMTfka1OEV-SHMBm-vTgfRWWKhsigrhCR1qKrFMdjkLepdB7lR5xKoZySlNosaRupUONY71HaKO3w2Jt6La2wRgqr485TqGOT3BEwJWRH97x2OhVd7W0iE00wHULC9UwsG3BWDVZmSn45pdH4kQXyMs-wNzPqzQa8XJecBWbHLWVOq_HOylmbZ1zGCfHKeLsBr4uBu7N-9vm8T8_j_y34Ana_DIbZx3fjDyfwgFMQReGpdgr1xXzpnqG0WejnhQn_ASl7-J4 |
| 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=Adaptive+dynamic+programming+for+decentralized+neuro%E2%80%90control+of+nonlinear+systems+subject+to+mismatched+interconnections&rft.jtitle=Optimal+control+applications+%26+methods&rft.au=Tang%2C+Yuhong&rft.au=Yang%2C+Xiong&rft.au=Dong%2C+Na&rft.date=2022-09-01&rft.issn=0143-2087&rft.eissn=1099-1514&rft.volume=43&rft.issue=5&rft.spage=1501&rft.epage=1519&rft_id=info:doi/10.1002%2Foca.2905&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_oca_2905 |
| 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 |