Proportional Integral Synchronization Control for Coupled Neural Networks: A Coding‐Decoding Scheme
The synchronization control problem of coupled neural networks based on a proportional‐integral observer is addressed in this paper. Since the state vector of each node may not be measured directly, a proportional‐integral observer is established to estimate the state information of the plant, thus...
Saved in:
| Published in: | International journal of adaptive control and signal processing |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
28.08.2025
|
| ISSN: | 0890-6327, 1099-1115 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | The synchronization control problem of coupled neural networks based on a proportional‐integral observer is addressed in this paper. Since the state vector of each node may not be measured directly, a proportional‐integral observer is established to estimate the state information of the plant, thus improving the design method of the observer. In addition, considering the limited communication bandwidth, the coding‐decoding scheme is adopted to relieve the bandwidth pressure and improve transmission efficiency effectively. The decoding state obtained by the coding‐decoding scheme is used as the basis for the designed controller, and it is deduced how the upper bounds of the coding‐decoding scheme parameters relate to the exponential ultimate boundedness of the synchronization error system. Finally, an example is offered to demonstrate the validity of the proposed method. |
|---|---|
| AbstractList | The synchronization control problem of coupled neural networks based on a proportional‐integral observer is addressed in this paper. Since the state vector of each node may not be measured directly, a proportional‐integral observer is established to estimate the state information of the plant, thus improving the design method of the observer. In addition, considering the limited communication bandwidth, the coding‐decoding scheme is adopted to relieve the bandwidth pressure and improve transmission efficiency effectively. The decoding state obtained by the coding‐decoding scheme is used as the basis for the designed controller, and it is deduced how the upper bounds of the coding‐decoding scheme parameters relate to the exponential ultimate boundedness of the synchronization error system. Finally, an example is offered to demonstrate the validity of the proposed method. |
| Author | Li, Feng Shen, Hao Guo, Xinyi Wang, Yongqian |
| Author_xml | – sequence: 1 givenname: Xinyi surname: Guo fullname: Guo, Xinyi organization: School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China – sequence: 2 givenname: Yongqian surname: Wang fullname: Wang, Yongqian organization: School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China – sequence: 3 givenname: Feng orcidid: 0000-0002-1711-3891 surname: Li fullname: Li, Feng organization: School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China – sequence: 4 givenname: Hao orcidid: 0000-0001-7024-6573 surname: Shen fullname: Shen, Hao organization: School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China |
| BookMark | eNotkM1OAjEURhuDiYAmPsIs3QzeO2V-6o6gKAlBE9hPSnsLo0NL2iEGVz6Cz-iTOKOu7knOl7s4A9azzhJj1wgjBEhupQqjMeT8jPURhIgRMe2xPhQC4own-QUbhPAK0DrkfUYv3h2cbypnZR3NbUNb38LqZNXOO1t9yE5FU2cb7-rION_y8VCTjpZ07KZLat6dfwt30aRVurLb78-ve1K_GK3UjvZ0yc6NrANd_d8hW88e1tOnePH8OJ9OFrFCAU3MdcFTo_NEgjDaKNJYbHSWYTZOUShDBjUorSXPoNAaQAlKDZoEVAYbzofs5u-t8i4ET6Y8-Gov_alEKLs6ZVun7OrwH_yBXO8 |
| Cites_doi | 10.1109/TCYB.2017.2740309 10.1016/j.cam.2006.02.009 10.1109/TCYB.2024.3448407 10.1109/TCYB.2024.3496794 10.1002/acs.3823 10.1002/acs.3992 10.1002/acs.3785 10.1109/TFUZZ.2023.3330297 10.1002/rnc.6027 10.1016/j.jfranklin.2024.106657 10.1016/j.neunet.2022.07.009 10.1016/j.automatica.2021.109684 10.1109/TCYB.2024.3519171 10.1109/TNNLS.2022.3184487 10.1109/TCYB.2022.3200751 10.1002/acs.3859 10.1016/j.automatica.2024.112091 10.1109/TAC.2023.3321689 10.1109/TAC.2023.3307951 10.1109/TNNLS.2021.3069926 10.1002/acs.3831 10.1109/TCYB.2020.2964592 10.1109/TIT.2022.3176139 10.1016/j.isatra.2022.04.048 10.1080/00207721.2022.2063968 10.1109/TCYB.2021.3090406 10.1016/j.automatica.2022.110837 10.1002/acs.2890 10.1109/TNNLS.2021.3093700 10.1109/JAS.2022.105644 10.1109/TCYB.2024.3350331 10.1109/TNNLS.2022.3174880 10.1109/TIE.2020.2998745 10.1109/TCYB.2022.3165041 10.1002/acs.3056 10.1109/TFUZZ.2020.3041589 10.1109/TIE.2022.3194645 10.1109/TCYB.2024.3524240 10.1109/TNNLS.2020.3015376 10.1109/TNNLS.2022.3209632 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1002/acs.4073 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1099-1115 |
| ExternalDocumentID | 10_1002_acs_4073 |
| GroupedDBID | -~X .3N .GA 05W 0R~ 10A 1L6 1OB 1OC 33P 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 AANLZ AAONW AAXRX AAYCA AAYXX AAZKR ABCQN ABCUV ABIJN ABJNI ACAHQ ACCZN ACGFO ACGFS ACIWK ACPOU ACXBN ACXQS ADBBV ADEOM ADIZJ ADKYN ADMGS ADOZA ADXAS ADZMN AEFGJ AEIGN AEIMD AENEX AEUYR AEYWJ AFBPY AFFPM AFGKR AFWVQ AFZJQ AGHNM AGXDD AGYGG AHBTC AIAGR AIDQK AIDYY AITYG AIURR AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALVPJ AMBMR AMYDB ATUGU AUFTA AZBYB AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CITATION CS3 D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EBS F00 F01 F04 F5P G-S G.N GNP GODZA H.T H.X HBH HGLYW HHY HHZ HZ~ I-F IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O8X O9- OIG P2P P2W P2X P4D PQQKQ Q.N Q11 QB0 QRW R.K ROL RX1 SUPJJ TUS UB1 V2E W8V W99 WBKPD WIH WIK WJL WLBEL WOHZO WQJ WXSBR WYISQ XG1 XPP XV2 ZZTAW ~IA ~WT |
| ID | FETCH-LOGICAL-c190t-3d835fd72a09fdfced18bd66164519cfef1d0cdda3608dd00c9e5f1f20c60b33 |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001559318200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0890-6327 |
| IngestDate | Sat Nov 29 07:33:07 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c190t-3d835fd72a09fdfced18bd66164519cfef1d0cdda3608dd00c9e5f1f20c60b33 |
| ORCID | 0000-0002-1711-3891 0000-0001-7024-6573 |
| ParticipantIDs | crossref_primary_10_1002_acs_4073 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-08-28 |
| PublicationDateYYYYMMDD | 2025-08-28 |
| PublicationDate_xml | – month: 08 year: 2025 text: 2025-08-28 day: 28 |
| PublicationDecade | 2020 |
| PublicationTitle | International journal of adaptive control and signal processing |
| PublicationYear | 2025 |
| References | Saini K. (e_1_2_9_2_1) 2024; 38 Tang R. (e_1_2_9_12_1) 2022; 33 He P. (e_1_2_9_7_1) 2018; 32 Lu J. (e_1_2_9_20_1) 2021; 68 Zhao D. (e_1_2_9_26_1) 2023; 53 Hu C. (e_1_2_9_25_1) 2024; 38 Dai X. (e_1_2_9_24_1) 2023; 70 Wang J. L. (e_1_2_9_8_1) 2024; 35 Sri Raja Priyanka K. (e_1_2_9_4_1) 2025; 39 Wang J. (e_1_2_9_9_1) 2023; 34 Wu J. (e_1_2_9_22_1) 2024; 54 Zhao D. (e_1_2_9_16_1) 2024; 35 Ahmadipour M. (e_1_2_9_34_1) 2024; 70 He X. (e_1_2_9_11_1) 2022; 154 Cao Z. (e_1_2_9_23_1) 2023; 149 Cao Z. (e_1_2_9_28_1) 2023; 69 Shen M. (e_1_2_9_31_1) 2023; 32 Shen H. (e_1_2_9_27_1) 2024; 54 Li J. (e_1_2_9_37_1) 2022; 127 Zhao D. (e_1_2_9_14_1) 2021; 32 Xing M. (e_1_2_9_29_1) 2023; 53 Devi N. B. (e_1_2_9_18_1) 2024; 38 Lin H. (e_1_2_9_6_1) 2021; 68 Shen M. (e_1_2_9_40_1) 2020; 30 Sun J. (e_1_2_9_3_1) 2023; 53 Liu T. (e_1_2_9_32_1) 2025; 55 Cao Z. (e_1_2_9_41_1) 2023; 69 Pratap A. (e_1_2_9_5_1) 2019; 33 Wang J. (e_1_2_9_21_1) 2018; 14 Wang Z. (e_1_2_9_42_1) 2007; 201 Wang L. (e_1_2_9_30_1) 2018; 48 Cheng J. (e_1_2_9_17_1) 2024; 35 Gasga P. (e_1_2_9_19_1) 2024; 38 Wang J. L. (e_1_2_9_10_1) 2025; 55 Huo N. (e_1_2_9_33_1) 2025; 55 Yang F. (e_1_2_9_15_1) 2022; 53 Jiang B. (e_1_2_9_36_1) 2022; 9 Zhu K. (e_1_2_9_39_1) 2025; 173 Zhang H. (e_1_2_9_35_1) 2022; 32 Yang J. (e_1_2_9_43_1) 2024; 361 Liu L. (e_1_2_9_38_1) 2021; 129 Wang J. L. (e_1_2_9_13_1) 2021; 51 |
| References_xml | – volume: 68 start-page: 3397 issue: 8 year: 2021 ident: e_1_2_9_6_1 article-title: Neural Bursting and Synchronization Emulated by Neural Networks and Circuits publication-title: IEEE Transactions on Circuits and Systems I: Regular Papers – volume: 48 start-page: 2437 issue: 8 year: 2018 ident: e_1_2_9_30_1 article-title: Synchronization Control for a Class of Discrete‐Time Dynamical Networks With Packet Dropouts: A Coding‐Decoding‐Based Approach publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2017.2740309 – volume: 201 start-page: 153 issue: 1 year: 2007 ident: e_1_2_9_42_1 article-title: Filtering for a Class of Nonlinear Discrete‐Time Stochastic Systems With State Delays publication-title: Journal of Computational and Applied Mathematics doi: 10.1016/j.cam.2006.02.009 – volume: 54 start-page: 7068 issue: 11 year: 2024 ident: e_1_2_9_27_1 article-title: Secure Control for Markov Jump Cyber‐pPhysical Systems Subject to Malicious Attacks: A Resilient Hybrid Learning Scheme publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2024.3448407 – volume: 55 start-page: 812 issue: 2 year: 2025 ident: e_1_2_9_33_1 article-title: Encoding‐Decoding‐Based Quantized Learning Control Using Spherical Polar Coordinates publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2024.3496794 – volume: 38 start-page: 2693 issue: 8 year: 2024 ident: e_1_2_9_2_1 article-title: Artificial Neural Network‐Based Adaptive Control for Nonlinear Dynamical Systems publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3823 – volume: 39 start-page: 1064 issue: 5 year: 2025 ident: e_1_2_9_4_1 article-title: Exponentially Decaying Memory Recovery Feedback Controller Design for Quasi‐Synchronization of Complex‐Valued Discrete‐Time Neural Networks publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3992 – volume: 38 start-page: 1956 issue: 6 year: 2024 ident: e_1_2_9_18_1 article-title: Observer‐Based Hybrid Triggered Control Design for Cluster Synchronization of Nonlinear Complex Dynamical Networks publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3785 – volume: 32 start-page: 1681 issue: 4 year: 2023 ident: e_1_2_9_31_1 article-title: Mismatched Quantized H∞$$ {H}_{\infty } $$ Output‐Feedback Control of Fuzzy Markov Jump Systems With a Dynamic Guaranteed Cost Triggering Scheme publication-title: IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2023.3330297 – volume: 32 start-page: 4336 issue: 7 year: 2022 ident: e_1_2_9_35_1 article-title: Data‐Driven Iterative Learning Control Using a Uniform Quantizer With an Encoding‐Decoding Mechanism publication-title: International Journal of Robust and Nonlinear Control doi: 10.1002/rnc.6027 – volume: 361 issue: 10 year: 2024 ident: e_1_2_9_43_1 article-title: Coding‐Decoding‐Based Synchronization of Markov Jump Neural Networks With PDT Switched Topologies publication-title: Journal of the Franklin Institute doi: 10.1016/j.jfranklin.2024.106657 – volume: 154 start-page: 303 year: 2022 ident: e_1_2_9_11_1 article-title: Finite‐Time Stability of State‐Dependent Delayed Systems and Application to Coupled Neural Networks publication-title: Neural Networks doi: 10.1016/j.neunet.2022.07.009 – volume: 129 year: 2021 ident: e_1_2_9_38_1 article-title: Distributed Set‐Membership Filtering for Time‐Varying Systems: A Coding‐Decoding‐Based Approach publication-title: Automatica doi: 10.1016/j.automatica.2021.109684 – volume: 55 start-page: 1018 issue: 3 year: 2025 ident: e_1_2_9_10_1 article-title: Adaptive Event‐Triggered Lag Outer Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2024.3519171 – volume: 35 start-page: 1628 issue: 2 year: 2024 ident: e_1_2_9_8_1 article-title: Finite‐Time Synchronization and H∞$$ {H}_{\infty } $$ Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2022.3184487 – volume: 53 start-page: 3351 issue: 5 year: 2023 ident: e_1_2_9_3_1 article-title: Memristor‐Based Neural Network Circuit With Multimode Generalization and Differentiation on Pavlov Associative Memory publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2022.3200751 – volume: 38 start-page: 2930 issue: 8 year: 2024 ident: e_1_2_9_19_1 article-title: Actuator Multiplicative and Additive Simultaneous Faults Estimation Using a qLPV Proportional Integral Unknown Input Observer publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3859 – volume: 173 year: 2025 ident: e_1_2_9_39_1 article-title: Encryption‐Decryption‐Based Set‐Membership Filtering for Two‐Dimensional Systems: On Security and Boundedness publication-title: Automatica doi: 10.1016/j.automatica.2024.112091 – volume: 69 start-page: 3190 issue: 5 year: 2023 ident: e_1_2_9_28_1 article-title: Sliding‐Mode Control for Sampled‐Data Systems Over Fading Channels: Dealing With Randomly Switching Sampling Periods publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2023.3321689 – volume: 69 start-page: 3531 issue: 6 year: 2023 ident: e_1_2_9_41_1 article-title: Finite‐Time Stabilization of Uncertain Markovian Jump Systems: An Adaptive Gain‐Scheduling Control Method publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2023.3307951 – volume: 33 start-page: 5268 issue: 10 year: 2022 ident: e_1_2_9_12_1 article-title: Finite‐Time Synchronization of Markovian Coupled Neural Networks With Delays via Intermittent Quantized Control: Linear Programming Approach publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2021.3069926 – volume: 38 start-page: 2750 issue: 8 year: 2024 ident: e_1_2_9_25_1 article-title: Probability‐Guaranteed Encoding‐Decoding‐Based State Estimation for Delayed Memristive Neutral Networks With Event‐Triggered Mechanism publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3831 – volume: 51 start-page: 6041 issue: 12 year: 2021 ident: e_1_2_9_13_1 article-title: Finite‐Time Output Synchronization and H∞$$ {H}_{\infty } $$ Output Synchronization of Coupled Neural Networks With Multiple Output Couplings publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2020.2964592 – volume: 70 start-page: 1124 issue: 2 year: 2024 ident: e_1_2_9_34_1 article-title: An Information‐Theoretic Approach to Joint Sensing and Communication publication-title: IEEE Transactions on Information Theory doi: 10.1109/TIT.2022.3176139 – volume: 127 start-page: 80 year: 2022 ident: e_1_2_9_37_1 article-title: Encoding‐Decoding Strategy Based Resilient State Estimation for Bias‐Corrupted Stochastic Nonlinear Systems publication-title: ISA Transactions doi: 10.1016/j.isatra.2022.04.048 – volume: 53 start-page: 2729 issue: 13 year: 2022 ident: e_1_2_9_15_1 article-title: Proportional‐Integral‐Type Estimator Design for Delayed Recurrent Neural Networks Under Encoding‐Decoding Mechanism publication-title: International Journal of Systems Science doi: 10.1080/00207721.2022.2063968 – volume: 53 start-page: 102 issue: 1 year: 2023 ident: e_1_2_9_29_1 article-title: Synchronization of Complex Dynamical Networks Subject to DoS Attacks: An Improved Coding‐Decoding Protocol publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2021.3090406 – volume: 149 year: 2023 ident: e_1_2_9_23_1 article-title: Self‐Triggered Multi‐Mode Control of Markovian Jump Systems publication-title: Automatica doi: 10.1016/j.automatica.2022.110837 – volume: 32 start-page: 1103 issue: 8 year: 2018 ident: e_1_2_9_7_1 article-title: Pinning Control and Adaptive Control for Synchronization of Linearly Coupled Reaction‐Diffusion Neural Networks With Mixed Delays publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.2890 – volume: 34 start-page: 278 issue: 1 year: 2023 ident: e_1_2_9_9_1 article-title: H∞ Bipartite Synchronization of Double‐Layer Markov Switched Cooperation‐Competition Neural Networks: A Distributed Dynamic Event‐Triggered Mechanism publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2021.3093700 – volume: 9 start-page: 1103 issue: 6 year: 2022 ident: e_1_2_9_36_1 article-title: Encoding‐Decoding‐Based Recursive Filtering for Fractional‐Order Systems publication-title: IEEE/CAA Journal of Automatica Sinica doi: 10.1109/JAS.2022.105644 – volume: 54 start-page: 4841 issue: 8 year: 2024 ident: e_1_2_9_22_1 article-title: A Sampled‐Data‐Based Secure Control Approach for Networked Control Systems Under Random DoS Attacks publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2024.3350331 – volume: 35 start-page: 405 issue: 1 year: 2024 ident: e_1_2_9_17_1 article-title: Proportional‐Integral Observer‐Based State Estimation for Markov Memristive Neural Networks With Sensor Saturations publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2022.3174880 – volume: 68 start-page: 5897 issue: 7 year: 2021 ident: e_1_2_9_20_1 article-title: A Reduced‐Order Generalized Proportional Integral Observer‐Based Resonant Super‐Twisting Sliding Mode Control for Grid‐Connected Power Converters publication-title: IEEE Transactions on Industrial Electronics doi: 10.1109/TIE.2020.2998745 – volume: 53 start-page: 4280 issue: 7 year: 2023 ident: e_1_2_9_26_1 article-title: Proportional‐Integral Observer Design for Multirate‐Networked Systems Under Constrained Bit Rate: An Encoding–Decoding Mechanism publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2022.3165041 – volume: 33 start-page: 1635 issue: 11 year: 2019 ident: e_1_2_9_5_1 article-title: Stability Analysis and Robust Synchronization of Fractional‐Order Competitive Neural Networks With Different Time Scales and Impulsive Perturbations publication-title: International Journal of Adaptive Control and Signal Processing doi: 10.1002/acs.3056 – volume: 14 start-page: 4159 issue: 9 year: 2018 ident: e_1_2_9_21_1 article-title: Generalized Proportional Integral Observer Based Robust Finite Control Set Predictive Current Control for Induction Motor Systems With Time‐Varying Disturbances publication-title: IEEE Transactions on Industrial Informatics – volume: 30 start-page: 542 issue: 2 year: 2020 ident: e_1_2_9_40_1 article-title: Fuzzy Tracking Control for Markov Jump Systems With Mismatched Faults by Iterative Proportional‐Integral Observers publication-title: IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2020.3041589 – volume: 70 start-page: 6326 issue: 6 year: 2023 ident: e_1_2_9_24_1 article-title: A Disturbance Decoupling Generalized Proportional‐Integral Observer Design for Robust Sensor Fault Detection publication-title: IEEE Transactions on Industrial Electronics doi: 10.1109/TIE.2022.3194645 – volume: 55 start-page: 1359 issue: 3 year: 2025 ident: e_1_2_9_32_1 article-title: Adaptive Quantized Iterative Learning Control Using Encoding‐Decoding Strategy publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2024.3524240 – volume: 32 start-page: 3553 issue: 8 year: 2021 ident: e_1_2_9_14_1 article-title: Nonfragile H∞$$ {H}_{\infty } $$ State Estimation for Recurrent Neural Networks With Time‐Varying Delays: On Proportional‐Integral Observer Design publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2020.3015376 – volume: 35 start-page: 6393 issue: 5 year: 2024 ident: e_1_2_9_16_1 article-title: Partial‐Neurons‐Based Proportional‐Integral Observer Design for Artificial Neural Networks: A Multiple Description Encoding Scheme publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2022.3209632 |
| SSID | ssj0009913 |
| Score | 2.4057436 |
| SecondaryResourceType | online_first |
| Snippet | The synchronization control problem of coupled neural networks based on a proportional‐integral observer is addressed in this paper. Since the state vector of... |
| SourceID | crossref |
| SourceType | Index Database |
| Title | Proportional Integral Synchronization Control for Coupled Neural Networks: A Coding‐Decoding Scheme |
| WOSCitedRecordID | wos001559318200001&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: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1099-1115 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009913 issn: 0890-6327 databaseCode: DRFUL dateStart: 19960101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LTttAFB2loYuyqHi0AvrQVGKHTMdjYs-wQwkIJBQhEqR0FY3nEUWKHJMHgh0b9nwjX8IdjycxURd00Y0VOR478j26r5x7BqF9xrWIaZgGQhMSQLwNA8YTE8Q6VixNFE-UKTabSNpt1uvxq1rtyc_C3I2SLGP39zz_r6aGc2BsOzr7D-Ze3BROwGcwOhzB7HB8l-Gv7L4Hk7LFd-HUIEYHnYdMFjq4buzSTvoVFHXLMmyO5_kIEk8r1AGXth0zfOqH1m10W3AiWlCuFnMwHbD2W6GDt83FiiSFUCIvGEqeF18064cD-3XuBhV8ALVMoHnRve0Ns4fhst3vXNKfcTa4rQD6suAiwOtfrO6U0ybnYlxtaNCG7dBSVvV7HCrayEkGHGrnl62QKLjlxl-9vlORFXJ6COVptIxs_t_8lYC3oCE6yWbah5V9u_IDWqNJg7M6Wmtdn91cLtWbudtn2_8yr2JM6G__1EpeU0lQuhvoc1lZ4BOHiE1U09kWWq_oTW4jXcUG9tjAK9jAJTYwYAOX2MAOG9hj4xifYIeMl8dnjwnsMPEFdc9Ou83zoNxnI5CQDs6CSEEablRCBeFGGalVyFIFiVtstYek0SZURColopgwpQiRXDdMaCiRMUmj6CuqZ-NM7yDMRUoE3IgTnUIwkPwoNUJGMhJSUSidd9Ev_5L6uVNT6a8aYe8d13xDn5bI-Y7qs8lc_0Af5d1sOJ38LK33CrS0cEI |
| 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=Proportional+Integral+Synchronization+Control+for+Coupled+Neural+Networks%3A+A+Coding%E2%80%90Decoding+Scheme&rft.jtitle=International+journal+of+adaptive+control+and+signal+processing&rft.au=Guo%2C+Xinyi&rft.au=Wang%2C+Yongqian&rft.au=Li%2C+Feng&rft.au=Shen%2C+Hao&rft.date=2025-08-28&rft.issn=0890-6327&rft.eissn=1099-1115&rft_id=info:doi/10.1002%2Facs.4073&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_acs_4073 |
| 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 |