Finite/fixed-time synchronization for Markovian complex-valued memristive neural networks with reaction–diffusion terms and its application
This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined...
Saved in:
Published in | Neurocomputing (Amsterdam) Vol. 414; pp. 131 - 142 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
13.11.2020
|
Subjects | |
Online Access | Get full text |
ISSN | 0925-2312 1872-8286 |
DOI | 10.1016/j.neucom.2020.07.024 |
Cover
Abstract | This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined in finite time and fixed time; namely, by designing a suitable controller, the synchronization error system can converge to zero in a finite/fixed time. Additionally, by combining Lyapunov–Krasovskii functional theory and algebraic inequality methods, a novel criterion of finite/fixed-time synchronization for proposed drive and response systems is derived. Note that the finite-time and fixed-time synchronization criteria are integrated into a unified theorem. Finally, two examples are provided, one is a simple numerical example to account for the feasibility of main results, the other realizes the application of this paper in establishing a spatiotemporal chaotic cryptosystem for image encryption, and the proposed cryptosystem has been illustrated that it has obvious advantages of large key space and high security by simulation results. |
---|---|
AbstractList | This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and Markovian jump parameters. To better meet the needs of some practical projects, the problem of synchronization investigated in this paper is defined in finite time and fixed time; namely, by designing a suitable controller, the synchronization error system can converge to zero in a finite/fixed time. Additionally, by combining Lyapunov–Krasovskii functional theory and algebraic inequality methods, a novel criterion of finite/fixed-time synchronization for proposed drive and response systems is derived. Note that the finite-time and fixed-time synchronization criteria are integrated into a unified theorem. Finally, two examples are provided, one is a simple numerical example to account for the feasibility of main results, the other realizes the application of this paper in establishing a spatiotemporal chaotic cryptosystem for image encryption, and the proposed cryptosystem has been illustrated that it has obvious advantages of large key space and high security by simulation results. |
Author | Song, Shuai Man, Jingtao Zhang, Yijun Ning, Zhaoke Song, Xiaona |
Author_xml | – sequence: 1 givenname: Xiaona surname: Song fullname: Song, Xiaona email: xiaona_97@163.com organization: School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China – sequence: 2 givenname: Jingtao surname: Man fullname: Man, Jingtao organization: School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China – sequence: 3 givenname: Shuai surname: Song fullname: Song, Shuai organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 4 givenname: Yijun surname: Zhang fullname: Zhang, Yijun organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 5 givenname: Zhaoke surname: Ning fullname: Ning, Zhaoke organization: School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China |
BookMark | eNqFkDtOxDAURS0EEsNnBxTeQII_k0lCgYQQPwlEAb3l2C_iDYk9sj3Dp2IDVOyQlZAwVBRQ3ebdc-2zQzadd0DIAWc5Z3x2OM8dLI3vc8EEy1mZMzHdIBNelSKrRDXbJBNWiyITkottshPjnDFeclFPyPs5Okxw2OIz2CxhDzS-OPMQvMNXndA72vpAb3R49CvUjg4ziw6es5XulmBpD33AmHAFdHhD0N0Q6cmHx0ifMD3QANqMlM-3D4ttu4wjMUHoI9XOUkxDLhYdmu-tPbLV6i7C_k_ukrvzs_vTy-z69uLq9OQ6M5LNUqbroii4rKYAsigtq2UjG9tq1hgrZdFoUZaVrCvgmjdiBmCLBhomhBTj8S45WlNN8DEGaJXB9L2fgsZOcaZGrWqu1lrVqFWxUg1ah_L0V3kRsNfh5b_a8boGw7dWCEFFg-AMWAxgkrIe_wZ8AcbinME |
CitedBy_id | crossref_primary_10_1016_j_amc_2022_127671 crossref_primary_10_1016_j_amc_2022_127056 crossref_primary_10_1016_j_amc_2023_128500 crossref_primary_10_1016_j_fss_2023_108701 crossref_primary_10_1016_j_neunet_2025_107220 crossref_primary_10_1016_j_physa_2025_130465 crossref_primary_10_1016_j_chaos_2023_113754 crossref_primary_10_1080_00207721_2023_2250491 crossref_primary_10_3390_math12121911 crossref_primary_10_3390_math11061378 crossref_primary_10_1016_j_neunet_2022_09_032 crossref_primary_10_1007_s00521_025_11114_8 crossref_primary_10_12677_AAM_2022_117516 crossref_primary_10_1007_s11063_023_11369_z crossref_primary_10_1109_TCSI_2024_3466396 crossref_primary_10_3390_fractalfract9010047 crossref_primary_10_1007_s11063_024_11494_3 crossref_primary_10_1007_s00521_024_09467_7 crossref_primary_10_1016_j_fss_2024_108856 crossref_primary_10_1109_TETCI_2024_3375450 crossref_primary_10_1016_j_amc_2022_127080 crossref_primary_10_1109_TNNLS_2021_3070966 crossref_primary_10_1016_j_jfranklin_2021_08_016 crossref_primary_10_1016_j_knosys_2023_110409 crossref_primary_10_1016_j_amc_2021_126194 crossref_primary_10_12677_AAM_2022_119720 crossref_primary_10_1016_j_cnsns_2025_108687 crossref_primary_10_1016_j_neucom_2021_10_067 crossref_primary_10_21015_vtcs_v12i1_1655 crossref_primary_10_1109_ACCESS_2022_3194030 crossref_primary_10_1140_epjs_s11734_024_01372_3 crossref_primary_10_1155_2021_5577675 crossref_primary_10_1155_2021_6654193 crossref_primary_10_1007_s00521_022_07503_y crossref_primary_10_1109_TNNLS_2022_3146832 crossref_primary_10_1109_TSMC_2023_3258222 crossref_primary_10_1016_j_isatra_2024_03_030 crossref_primary_10_1109_ACCESS_2021_3113915 |
Cites_doi | 10.1109/TSMC.2017.2754508 10.1109/TNNLS.2015.2513001 10.1016/j.amc.2019.05.040 10.1137/S0363012997321358 10.1016/j.neucom.2019.09.006 10.1007/s12555-018-0676-7 10.1109/TCYB.2017.2765343 10.1016/j.amc.2020.125271 10.1109/TCYB.2018.2812708 10.1016/j.chaos.2009.03.084 10.1016/j.chaos.2007.05.002 10.1109/TCYB.2018.2877410 10.1016/j.amc.2019.124631 10.1016/j.neucom.2017.08.066 10.1016/j.physleta.2019.04.032 10.1007/978-981-15-1081-6_40 10.1007/s11042-018-6612-2 10.1016/j.neucom.2019.06.092 10.1109/TNNLS.2019.2910574 10.1109/TNNLS.2018.2874035 10.1109/TNNLS.2018.2885115 10.1016/j.neunet.2019.12.028 10.1016/j.amc.2019.124838 10.1109/TAC.2018.2867158 10.1016/j.neunet.2019.05.014 10.1016/j.neucom.2019.12.085 10.1016/j.neucom.2019.09.034 10.1038/nature06932 10.1016/j.automatica.2019.108766 10.1016/j.automatica.2020.108917 10.1016/j.neucom.2019.09.046 10.1109/TAC.2011.2179869 10.1016/j.ijleo.2013.09.040 10.1007/s11042-018-6574-4 10.1016/j.neunet.2018.01.015 10.1016/j.amc.2020.125033 10.1109/TNNLS.2015.2512849 10.1016/j.neucom.2019.10.047 10.1109/TAC.2016.2548559 10.1016/j.amc.2019.124779 10.1109/TCYB.2018.2821119 10.1016/j.neucom.2017.03.052 10.1016/j.neunet.2019.12.026 10.1016/j.amc.2017.05.021 10.1016/j.neucom.2019.02.050 10.1016/j.automatica.2019.01.027 |
ContentType | Journal Article |
Copyright | 2020 |
Copyright_xml | – notice: 2020 |
DBID | AAYXX CITATION |
DOI | 10.1016/j.neucom.2020.07.024 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
EISSN | 1872-8286 |
EndPage | 142 |
ExternalDocumentID | 10_1016_j_neucom_2020_07_024 S0925231220311310 |
GroupedDBID | --- --K --M .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AADPK AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXLA AAXUO AAYFN ABBOA ABCQJ ABFNM ABJNI ABMAC ABYKQ ACDAQ ACGFS ACRLP ACZNC ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGWIK AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD AXJTR BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ IHE J1W KOM LG9 M41 MO0 MOBAO N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SDP SES SPC SPCBC SSN SSV SSZ T5K ZMT ~G- 29N AAQXK AATTM AAXKI AAYWO AAYXX ABWVN ABXDB ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN BNPGV CITATION EJD FEDTE FGOYB HLZ HVGLF HZ~ R2- RIG SBC SEW SSH WUQ XPP |
ID | FETCH-LOGICAL-c306t-a95551384ee357d093b3bdfa0bcd335ba2778398e1a1b26eed5beb02232d093 |
IEDL.DBID | AIKHN |
ISSN | 0925-2312 |
IngestDate | Thu Apr 24 23:03:31 EDT 2025 Tue Jul 01 01:46:51 EDT 2025 Fri Feb 23 02:47:41 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Markovian jump parameters Image encryption Finite/fixed-time synchronization CVMNNs Reaction–diffusion terms |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c306t-a95551384ee357d093b3bdfa0bcd335ba2778398e1a1b26eed5beb02232d093 |
PageCount | 12 |
ParticipantIDs | crossref_citationtrail_10_1016_j_neucom_2020_07_024 crossref_primary_10_1016_j_neucom_2020_07_024 elsevier_sciencedirect_doi_10_1016_j_neucom_2020_07_024 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2020-11-13 |
PublicationDateYYYYMMDD | 2020-11-13 |
PublicationDate_xml | – month: 11 year: 2020 text: 2020-11-13 day: 13 |
PublicationDecade | 2020 |
PublicationTitle | Neurocomputing (Amsterdam) |
PublicationYear | 2020 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
References | Lu, Jiang, Hu, Abdurahman (b0085) 2020; 123 Guo, Luo, Wang, Luo, Ge, Kurths, Yuan, Gao (b0165) 2020; 18 Gong, Guo, Wen, Huang (b0155) 2019 Wang, Jiang, Ma, Hu (b0065) 2018; 101 Zhou, Zhao (b0135) 2020; 372 Xin, Li, Xia, Cheng (b0025) 2019; 49 Liu, Zhu, Sun (b0050) 2018; 49 Strukov, Snider, Stewart, Williams (b0010) 2008; 453 Liu, Zhu, Sun (b0070) 2018; 275 Tang, Wu, Shi, Qian (b0125) 2020; 113 Shu, Song, Liu, Zhao, Alsaadi (b0210) 2017; 247 Polyakov (b0225) 2011; 57 Wu, Tang, Zhang (b0120) 2016; 61 Zhang, Liu, Zhou, Lin, Chen, Wang (b0060) 2017; 48 Rajagopalan, Sharma, Arumugham, Upadhyay, Rayappan, Amirtharajan (b0195) 2019; 78 Bhat, Bernstein (b0220) 2000; 38 Li, Gao, Li (b0115) 2020; 367 Yi, Xu, Feng, Wang, Zhao (b0095) 2019; 339 S. Arumugham, S. Rajagopalan, S. Rethinam, S. Janakiraman, C. Lakshmi, A. Rengarajan, Synthetic image and strange attractor: Two folded encryption approach for secure image communication, in: Advanced Computing and Intelligent Engineering, Springer, 2020, pp. 467–478. Zhang, Han, Tang, Liu (b0245) 2019; 103 Zhang, Chen, Li (b0145) 2020; 373 Kadir, Hamdulla, Guo (b0190) 2014; 125 Rao, Liu, Peng, Xu, Lu (b0130) 2019 Chen, Li, Peng, Yang, Mi, Zhao (b0150) 2020; 123 Guo, Zhang, Liu, Lin (b0215) 2017; 311 Hardy, Littlewood, Pólya (b0235) 1952 Gao, Zhu, Li (b0040) 2019; 385 Huang, Hou, Yang (b0075) 2020; 379 Wang, Guo, Wen, Huang, Gong (b0175) 2020; 375 Nkandeu, Tiedeu (b0205) 2019; 78 Hu, Wang, Liu, Zhang (b0250) 2019 Sun, Zhu, Wei, Zhang, Gao (b0160) 2019; 383 Ren, He (b0105) 2020; 365 Song, Man, Song, Lu (b0100) 2020; 378 Wang, Park, Zhong, Yang (b0020) 2019; 31 Lin, He, Zhang, Wu, Shen (b0110) 2019; 30 Shanmugam, Mani, Rajan, Joo (b0240) 2018; 50 Zhang, Rao, Deng, Wu, Zhu (b0255) 2020; 372 Shen, Wang, Cao, Lu, Song, Huang (b0035) 2018; 30 Xue, Tang, Ren, Qian (b0140) 2020; 116 Mazloom, Eftekhari Moghadam (b0180) 2009; 42 Wu, Tang, Cao (b0080) 2019; 64 Wang, Cao, Huang, Wen (b0015) 2019; 361 Wang, Wu, Wang, Li (b0090) 2020 Chen, Luo, Zheng (b0185) 2016; 27 Liu, Ho, Song, Xu (b0170) 2018; 49 Wang, Cao, Guo, Wen (b0005) 2020; 369 Lu (b0230) 2008; 35 Fan, Huang, Shen, Cao (b0030) 2019; 117 Hu, Song, Zhao (b0045) 2020; 373 Wang, Duan, Huang, Wang, Li (b0055) 2016; 28 Hu (10.1016/j.neucom.2020.07.024_b0250) 2019 Wang (10.1016/j.neucom.2020.07.024_b0015) 2019; 361 Wang (10.1016/j.neucom.2020.07.024_b0020) 2019; 31 Wang (10.1016/j.neucom.2020.07.024_b0090) 2020 Zhang (10.1016/j.neucom.2020.07.024_b0255) 2020; 372 Xue (10.1016/j.neucom.2020.07.024_b0140) 2020; 116 Ren (10.1016/j.neucom.2020.07.024_b0105) 2020; 365 Xin (10.1016/j.neucom.2020.07.024_b0025) 2019; 49 Wang (10.1016/j.neucom.2020.07.024_b0055) 2016; 28 Lu (10.1016/j.neucom.2020.07.024_b0085) 2020; 123 Liu (10.1016/j.neucom.2020.07.024_b0050) 2018; 49 Zhou (10.1016/j.neucom.2020.07.024_b0135) 2020; 372 Kadir (10.1016/j.neucom.2020.07.024_b0190) 2014; 125 Lu (10.1016/j.neucom.2020.07.024_b0230) 2008; 35 Liu (10.1016/j.neucom.2020.07.024_b0170) 2018; 49 10.1016/j.neucom.2020.07.024_b0200 Hardy (10.1016/j.neucom.2020.07.024_b0235) 1952 Yi (10.1016/j.neucom.2020.07.024_b0095) 2019; 339 Strukov (10.1016/j.neucom.2020.07.024_b0010) 2008; 453 Nkandeu (10.1016/j.neucom.2020.07.024_b0205) 2019; 78 Guo (10.1016/j.neucom.2020.07.024_b0165) 2020; 18 Rajagopalan (10.1016/j.neucom.2020.07.024_b0195) 2019; 78 Zhang (10.1016/j.neucom.2020.07.024_b0245) 2019; 103 Wang (10.1016/j.neucom.2020.07.024_b0175) 2020; 375 Chen (10.1016/j.neucom.2020.07.024_b0185) 2016; 27 Gong (10.1016/j.neucom.2020.07.024_b0155) 2019 Bhat (10.1016/j.neucom.2020.07.024_b0220) 2000; 38 Zhang (10.1016/j.neucom.2020.07.024_b0145) 2020; 373 Lin (10.1016/j.neucom.2020.07.024_b0110) 2019; 30 Chen (10.1016/j.neucom.2020.07.024_b0150) 2020; 123 Rao (10.1016/j.neucom.2020.07.024_b0130) 2019 Gao (10.1016/j.neucom.2020.07.024_b0040) 2019; 385 Zhang (10.1016/j.neucom.2020.07.024_b0060) 2017; 48 Wang (10.1016/j.neucom.2020.07.024_b0065) 2018; 101 Huang (10.1016/j.neucom.2020.07.024_b0075) 2020; 379 Guo (10.1016/j.neucom.2020.07.024_b0215) 2017; 311 Song (10.1016/j.neucom.2020.07.024_b0100) 2020; 378 Tang (10.1016/j.neucom.2020.07.024_b0125) 2020; 113 Liu (10.1016/j.neucom.2020.07.024_b0070) 2018; 275 Shu (10.1016/j.neucom.2020.07.024_b0210) 2017; 247 Wu (10.1016/j.neucom.2020.07.024_b0080) 2019; 64 Li (10.1016/j.neucom.2020.07.024_b0115) 2020; 367 Sun (10.1016/j.neucom.2020.07.024_b0160) 2019; 383 Mazloom (10.1016/j.neucom.2020.07.024_b0180) 2009; 42 Wang (10.1016/j.neucom.2020.07.024_b0005) 2020; 369 Shen (10.1016/j.neucom.2020.07.024_b0035) 2018; 30 Shanmugam (10.1016/j.neucom.2020.07.024_b0240) 2018; 50 Polyakov (10.1016/j.neucom.2020.07.024_b0225) 2011; 57 Fan (10.1016/j.neucom.2020.07.024_b0030) 2019; 117 Hu (10.1016/j.neucom.2020.07.024_b0045) 2020; 373 Wu (10.1016/j.neucom.2020.07.024_b0120) 2016; 61 |
References_xml | – volume: 103 start-page: 126 year: 2019 end-page: 134 ident: b0245 article-title: Sampled-data control for a class of linear time-varying systems publication-title: Automatica – volume: 30 start-page: 1841 year: 2018 end-page: 1853 ident: b0035 article-title: Nonfragile dissipative synchronization for Markovian memristive neural networks: a gain-scheduled control scheme publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 42 start-page: 1745 year: 2009 end-page: 1754 ident: b0180 article-title: Color image encryption based on coupled nonlinear chaotic map publication-title: Chaos, Solitons & Fractals – reference: S. Arumugham, S. Rajagopalan, S. Rethinam, S. Janakiraman, C. Lakshmi, A. Rengarajan, Synthetic image and strange attractor: Two folded encryption approach for secure image communication, in: Advanced Computing and Intelligent Engineering, Springer, 2020, pp. 467–478. – volume: 78 start-page: 10013 year: 2019 end-page: 10034 ident: b0205 article-title: An image encryption algorithm based on substitution technique and chaos mixing publication-title: Multimedia Tools and Applications – volume: 50 start-page: 911 year: 2018 end-page: 922 ident: b0240 article-title: Adaptive synchronization of reaction–diffusion neural networks and its application to secure communication publication-title: IEEE Transactions on Cybernetics – volume: 123 start-page: 412 year: 2020 end-page: 419 ident: b0150 article-title: A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks publication-title: Neural Networks – volume: 383 start-page: 2255 year: 2019 end-page: 2263 ident: b0160 article-title: Finite-time synchronization of memristor-based complex-valued neural networks with time delays publication-title: Physics Letters A – volume: 78 start-page: 10513 year: 2019 end-page: 10541 ident: b0195 article-title: YRBS coding with logistic map–a novel Sanskrit aphorism and chaos for image encryption publication-title: Multimedia Tools and Applications – volume: 117 start-page: 216 year: 2019 end-page: 224 ident: b0030 article-title: Switching event-triggered control for global stabilization of delayed memristive neural networks: an exponential attenuation scheme publication-title: Neural Networks – volume: 116 year: 2020 ident: b0140 article-title: Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations publication-title: Automatica – volume: 369 year: 2020 ident: b0005 article-title: Passivity and passification of memristive recurrent neural networks with multi-proportional delays and impulse publication-title: Applied Mathematics and Computation – volume: 30 start-page: 2528 year: 2019 end-page: 2537 ident: b0110 article-title: Extended dissipativity analysis for Markovian jump neural networks with time-varying delay via delay-product-type functionals publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 31 start-page: 891 year: 2019 end-page: 900 ident: b0020 article-title: A switched operation approach to sampled-data control stabilization of fuzzy memristive neural networks with time-varying delay publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 57 start-page: 2106 year: 2011 end-page: 2110 ident: b0225 article-title: Nonlinear feedback design for fixed-time stabilization of linear control systems publication-title: IEEE Transactions on Automatic Control – volume: 125 start-page: 1671 year: 2014 end-page: 1675 ident: b0190 article-title: Color image encryption using skew tent map and hyper chaotic system of 6th-order CNN publication-title: Optik – volume: 27 start-page: 2696 year: 2016 end-page: 2710 ident: b0185 article-title: Impulsive synchronization of reaction–diffusion neural networks with mixed delays and its application to image encryption publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 49 start-page: 2398 year: 2018 end-page: 2403 ident: b0170 article-title: Finite/fixed-time pinning synchronization of complex networks with stochastic disturbances publication-title: IEEE Transactions on Cybernetics – volume: 247 start-page: 202 year: 2017 end-page: 212 ident: b0210 article-title: Global publication-title: Neurocomputing – volume: 372 start-page: 1 year: 2020 end-page: 7 ident: b0255 article-title: Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint publication-title: Neurocomputing – volume: 61 start-page: 4143 year: 2016 end-page: 4149 ident: b0120 article-title: Stability analysis of stochastic delayed systems with an application to multi-agent systems publication-title: IEEE Transactions on Automatic Control – volume: 365 year: 2020 ident: b0105 article-title: Finite-time stabilization for positive Markovian jumping neural networks publication-title: Applied Mathematics and Computation – volume: 361 start-page: 294 year: 2019 end-page: 310 ident: b0015 article-title: Passivity and passification of memristive neural networks with leakage term and time-varying delays publication-title: Applied Mathematics and Computation – volume: 48 start-page: 2371 year: 2017 end-page: 2382 ident: b0060 article-title: Finite-time stabilizability and instabilizability for complex-valued memristive neural networks with time delays publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 49 start-page: 1735 year: 2018 end-page: 1747 ident: b0050 article-title: Global anti-synchronization of complex-valued memristive neural networks with time delays publication-title: IEEE Transactions on Cybernetics – year: 2019 ident: b0250 article-title: Variance-constrained recursive state estimation for time-varying complex networks with quantized measurements and uncertain inner coupling publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 379 year: 2020 ident: b0075 article-title: Passivity and synchronization of coupled reaction-diffusion complex-valued memristive neural networks publication-title: Applied Mathematics and Computation – year: 2019 ident: b0155 article-title: Finite-time and fixed-time synchronization of coupled memristive neural networks with time delay publication-title: IEEE Transactions on Cybernetics – volume: 453 start-page: 80 year: 2008 end-page: 83 ident: b0010 article-title: The missing memristor found publication-title: Nature – volume: 113 year: 2020 ident: b0125 article-title: Input-to-state stability for nonlinear systems with stochastic impulses publication-title: Automatica – volume: 64 start-page: 2537 year: 2019 end-page: 2544 ident: b0080 article-title: Input-to-state stability of time-varying switched systems with time delays publication-title: IEEE Transactions on Automatic Control – volume: 275 start-page: 758 year: 2018 end-page: 767 ident: b0070 article-title: New results for exponential stability of complex-valued memristive neural networks with variable delays publication-title: Neurocomputing – volume: 339 start-page: 270 year: 2019 end-page: 278 ident: b0095 article-title: Pinning synchronization for reaction-diffusion neural networks with delays by mixed impulsive control publication-title: Neurocomputing – volume: 18 start-page: 462 year: 2020 end-page: 476 ident: b0165 article-title: Fixed-time synchronization of complex-valued memristive BAM neural network and applications in image encryption and decryption publication-title: International Journal of Control, Automation and Systems – volume: 373 year: 2020 ident: b0045 article-title: Robust state estimation for fractional-order complex-valued delayed neural networks with interval parameter uncertainties: LMI approach publication-title: Applied Mathematics and Computation – volume: 28 start-page: 766 year: 2016 end-page: 771 ident: b0055 article-title: Exponential stability of complex-valued memristive recurrent neural networks publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 35 start-page: 116 year: 2008 end-page: 125 ident: b0230 article-title: Global exponential stability and periodicity of reaction–diffusion delayed recurrent neural networks with Dirichlet boundary conditions publication-title: Chaos, Solitons and Fractals – volume: 311 start-page: 100 year: 2017 end-page: 117 ident: b0215 article-title: Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays publication-title: Applied Mathematics and Computation – volume: 385 start-page: 368 year: 2019 end-page: 377 ident: b0040 article-title: Reachable set bounding for a class of memristive complex-valued neural networks with disturbances publication-title: Neurocomputing – year: 1952 ident: b0235 article-title: Inequalities – volume: 373 start-page: 15 year: 2020 end-page: 23 ident: b0145 article-title: Further study on finite-time synchronization for delayed inertial neural networks via inequality skills publication-title: Neurocomputing – volume: 372 start-page: 109 year: 2020 end-page: 116 ident: b0135 article-title: Exponential synchronization and polynomial synchronization of recurrent neural networks with and without proportional delays publication-title: Neurocomputing – volume: 378 start-page: 324 year: 2020 end-page: 334 ident: b0100 article-title: Integral sliding mode synchronization control for Markovian jump inertial memristive neural networks with reaction–diffusion terms publication-title: Neurocomputing – year: 2019 ident: b0130 article-title: Observer-based impulsive synchronization for neural networks with uncertain exchanging information publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 123 start-page: 429 year: 2020 end-page: 440 ident: b0085 article-title: Spacial sampled-data control for publication-title: Neural Networks – volume: 38 start-page: 751 year: 2000 end-page: 766 ident: b0220 article-title: Finite-time stability of continuous autonomous systems publication-title: SIAM Journal on Control and Optimization – year: 2020 ident: b0090 article-title: Quantized sampled-data synchronization of delayed reaction–diffusion neural networks under spatially point measurements publication-title: IEEE Transactions on Cybernetics – volume: 49 start-page: 712 year: 2019 end-page: 718 ident: b0025 article-title: Quasi-synchronization of delayed chaotic memristive neural networks publication-title: IEEE Transactions on Cybernetics – volume: 375 start-page: 1 year: 2020 end-page: 8 ident: b0175 article-title: Finite/fixed-time synchronization of delayed memristive reaction-diffusion neural networks publication-title: Neurocomputing – volume: 101 start-page: 33 year: 2018 end-page: 46 ident: b0065 article-title: Delay-dependent dynamical analysis of complex-valued memristive neural networks: continuous-time and discrete-time cases publication-title: Neural Networks – volume: 367 year: 2020 ident: b0115 article-title: Stability and synchronization control of inertial neural networks with mixed delays publication-title: Applied Mathematics and Computation – volume: 48 start-page: 2371 issue: 12 year: 2017 ident: 10.1016/j.neucom.2020.07.024_b0060 article-title: Finite-time stabilizability and instabilizability for complex-valued memristive neural networks with time delays publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems doi: 10.1109/TSMC.2017.2754508 – year: 1952 ident: 10.1016/j.neucom.2020.07.024_b0235 – volume: 28 start-page: 766 issue: 3 year: 2016 ident: 10.1016/j.neucom.2020.07.024_b0055 article-title: Exponential stability of complex-valued memristive recurrent neural networks publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2015.2513001 – volume: 361 start-page: 294 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0015 article-title: Passivity and passification of memristive neural networks with leakage term and time-varying delays publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2019.05.040 – volume: 38 start-page: 751 issue: 3 year: 2000 ident: 10.1016/j.neucom.2020.07.024_b0220 article-title: Finite-time stability of continuous autonomous systems publication-title: SIAM Journal on Control and Optimization doi: 10.1137/S0363012997321358 – volume: 372 start-page: 1 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0255 article-title: Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.09.006 – volume: 18 start-page: 462 issue: 2 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0165 article-title: Fixed-time synchronization of complex-valued memristive BAM neural network and applications in image encryption and decryption publication-title: International Journal of Control, Automation and Systems doi: 10.1007/s12555-018-0676-7 – volume: 49 start-page: 712 issue: 2 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0025 article-title: Quasi-synchronization of delayed chaotic memristive neural networks publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2017.2765343 – volume: 379 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0075 article-title: Passivity and synchronization of coupled reaction-diffusion complex-valued memristive neural networks publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2020.125271 – volume: 49 start-page: 1735 issue: 5 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0050 article-title: Global anti-synchronization of complex-valued memristive neural networks with time delays publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2018.2812708 – volume: 42 start-page: 1745 issue: 3 year: 2009 ident: 10.1016/j.neucom.2020.07.024_b0180 article-title: Color image encryption based on coupled nonlinear chaotic map publication-title: Chaos, Solitons & Fractals doi: 10.1016/j.chaos.2009.03.084 – volume: 35 start-page: 116 issue: 1 year: 2008 ident: 10.1016/j.neucom.2020.07.024_b0230 article-title: Global exponential stability and periodicity of reaction–diffusion delayed recurrent neural networks with Dirichlet boundary conditions publication-title: Chaos, Solitons and Fractals doi: 10.1016/j.chaos.2007.05.002 – volume: 50 start-page: 911 issue: 3 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0240 article-title: Adaptive synchronization of reaction–diffusion neural networks and its application to secure communication publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2018.2877410 – volume: 365 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0105 article-title: Finite-time stabilization for positive Markovian jumping neural networks publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2019.124631 – volume: 275 start-page: 758 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0070 article-title: New results for exponential stability of complex-valued memristive neural networks with variable delays publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.08.066 – volume: 383 start-page: 2255 issue: 19 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0160 article-title: Finite-time synchronization of memristor-based complex-valued neural networks with time delays publication-title: Physics Letters A doi: 10.1016/j.physleta.2019.04.032 – ident: 10.1016/j.neucom.2020.07.024_b0200 doi: 10.1007/978-981-15-1081-6_40 – volume: 78 start-page: 10013 issue: 8 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0205 article-title: An image encryption algorithm based on substitution technique and chaos mixing publication-title: Multimedia Tools and Applications doi: 10.1007/s11042-018-6612-2 – volume: 375 start-page: 1 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0175 article-title: Finite/fixed-time synchronization of delayed memristive reaction-diffusion neural networks publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.06.092 – volume: 31 start-page: 891 issue: 3 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0020 article-title: A switched operation approach to sampled-data control stabilization of fuzzy memristive neural networks with time-varying delay publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2019.2910574 – volume: 30 start-page: 1841 issue: 6 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0035 article-title: Nonfragile dissipative synchronization for Markovian memristive neural networks: a gain-scheduled control scheme publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2018.2874035 – year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0130 article-title: Observer-based impulsive synchronization for neural networks with uncertain exchanging information publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 30 start-page: 2528 issue: 8 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0110 article-title: Extended dissipativity analysis for Markovian jump neural networks with time-varying delay via delay-product-type functionals publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2018.2885115 – volume: 123 start-page: 412 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0150 article-title: A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks publication-title: Neural Networks doi: 10.1016/j.neunet.2019.12.028 – volume: 369 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0005 article-title: Passivity and passification of memristive recurrent neural networks with multi-proportional delays and impulse publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2019.124838 – year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0155 article-title: Finite-time and fixed-time synchronization of coupled memristive neural networks with time delay publication-title: IEEE Transactions on Cybernetics – volume: 64 start-page: 2537 issue: 6 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0080 article-title: Input-to-state stability of time-varying switched systems with time delays publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2018.2867158 – volume: 117 start-page: 216 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0030 article-title: Switching event-triggered control for global stabilization of delayed memristive neural networks: an exponential attenuation scheme publication-title: Neural Networks doi: 10.1016/j.neunet.2019.05.014 – volume: 385 start-page: 368 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0040 article-title: Reachable set bounding for a class of memristive complex-valued neural networks with disturbances publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.12.085 – volume: 373 start-page: 15 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0145 article-title: Further study on finite-time synchronization for delayed inertial neural networks via inequality skills publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.09.034 – volume: 453 start-page: 80 issue: 7191 year: 2008 ident: 10.1016/j.neucom.2020.07.024_b0010 article-title: The missing memristor found publication-title: Nature doi: 10.1038/nature06932 – volume: 113 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0125 article-title: Input-to-state stability for nonlinear systems with stochastic impulses publication-title: Automatica doi: 10.1016/j.automatica.2019.108766 – volume: 116 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0140 article-title: Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations publication-title: Automatica doi: 10.1016/j.automatica.2020.108917 – volume: 372 start-page: 109 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0135 article-title: Exponential synchronization and polynomial synchronization of recurrent neural networks with and without proportional delays publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.09.046 – volume: 57 start-page: 2106 issue: 8 year: 2011 ident: 10.1016/j.neucom.2020.07.024_b0225 article-title: Nonlinear feedback design for fixed-time stabilization of linear control systems publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2011.2179869 – volume: 125 start-page: 1671 issue: 5 year: 2014 ident: 10.1016/j.neucom.2020.07.024_b0190 article-title: Color image encryption using skew tent map and hyper chaotic system of 6th-order CNN publication-title: Optik doi: 10.1016/j.ijleo.2013.09.040 – year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0090 article-title: Quantized sampled-data synchronization of delayed reaction–diffusion neural networks under spatially point measurements publication-title: IEEE Transactions on Cybernetics – volume: 78 start-page: 10513 issue: 8 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0195 article-title: YRBS coding with logistic map–a novel Sanskrit aphorism and chaos for image encryption publication-title: Multimedia Tools and Applications doi: 10.1007/s11042-018-6574-4 – year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0250 article-title: Variance-constrained recursive state estimation for time-varying complex networks with quantized measurements and uncertain inner coupling publication-title: IEEE Transactions on Neural Networks and Learning Systems – volume: 101 start-page: 33 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0065 article-title: Delay-dependent dynamical analysis of complex-valued memristive neural networks: continuous-time and discrete-time cases publication-title: Neural Networks doi: 10.1016/j.neunet.2018.01.015 – volume: 373 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0045 article-title: Robust state estimation for fractional-order complex-valued delayed neural networks with interval parameter uncertainties: LMI approach publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2020.125033 – volume: 27 start-page: 2696 issue: 12 year: 2016 ident: 10.1016/j.neucom.2020.07.024_b0185 article-title: Impulsive synchronization of reaction–diffusion neural networks with mixed delays and its application to image encryption publication-title: IEEE Transactions on Neural Networks and Learning Systems doi: 10.1109/TNNLS.2015.2512849 – volume: 378 start-page: 324 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0100 article-title: Integral sliding mode synchronization control for Markovian jump inertial memristive neural networks with reaction–diffusion terms publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.10.047 – volume: 61 start-page: 4143 issue: 12 year: 2016 ident: 10.1016/j.neucom.2020.07.024_b0120 article-title: Stability analysis of stochastic delayed systems with an application to multi-agent systems publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2016.2548559 – volume: 367 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0115 article-title: Stability and synchronization control of inertial neural networks with mixed delays publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2019.124779 – volume: 49 start-page: 2398 issue: 6 year: 2018 ident: 10.1016/j.neucom.2020.07.024_b0170 article-title: Finite/fixed-time pinning synchronization of complex networks with stochastic disturbances publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2018.2821119 – volume: 247 start-page: 202 year: 2017 ident: 10.1016/j.neucom.2020.07.024_b0210 article-title: Global μ-stability of quaternion-valued neural networks with non-differentiable time-varying delays publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.03.052 – volume: 123 start-page: 429 year: 2020 ident: 10.1016/j.neucom.2020.07.024_b0085 article-title: Spacial sampled-data control for H_∞ output synchronization of directed coupled reaction–diffusion neural networks with mixed delays publication-title: Neural Networks doi: 10.1016/j.neunet.2019.12.026 – volume: 311 start-page: 100 year: 2017 ident: 10.1016/j.neucom.2020.07.024_b0215 article-title: Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays publication-title: Applied Mathematics and Computation doi: 10.1016/j.amc.2017.05.021 – volume: 339 start-page: 270 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0095 article-title: Pinning synchronization for reaction-diffusion neural networks with delays by mixed impulsive control publication-title: Neurocomputing doi: 10.1016/j.neucom.2019.02.050 – volume: 103 start-page: 126 year: 2019 ident: 10.1016/j.neucom.2020.07.024_b0245 article-title: Sampled-data control for a class of linear time-varying systems publication-title: Automatica doi: 10.1016/j.automatica.2019.01.027 |
SSID | ssj0017129 |
Score | 2.476725 |
Snippet | This paper pays attention to the synchronization issue of complex-valued memristive neural networks (CVMNNs) that contain reaction–diffusion terms and... |
SourceID | crossref elsevier |
SourceType | Enrichment Source Index Database Publisher |
StartPage | 131 |
SubjectTerms | CVMNNs Finite/fixed-time synchronization Image encryption Markovian jump parameters Reaction–diffusion terms |
Title | Finite/fixed-time synchronization for Markovian complex-valued memristive neural networks with reaction–diffusion terms and its application |
URI | https://dx.doi.org/10.1016/j.neucom.2020.07.024 |
Volume | 414 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LSwMxEA5aL158i_VFDl5jm2Sfx1IsVbGXKnhb8lpY0bXYrehF_AOe_If-Emf24QNEwdOyS4Ysmck8kplvCDmIweQaLjkDW2sgQDGKRdZ6EKVIHTipI2WxOPlsFAwvvJNL_3KO9JtaGEyrrHV_pdNLbV1_6dSr2ZlkWWfcjQVEUVwIkEuYDeL2BSHjwG-Rhd7x6XD0cZkQclFB7gmfIUFTQVemeeVuhmkjAtymEsVTeD9bqC9WZ7BClmp3kfaqP1olcy5fI8tNKwZa78x18jLI0HnspNmDswwbxtPpY25K5Nuq0JKCd0qxMuf2HiSClqnk7oEh2Lez9MbdlLv93lFEuIQp8yo_fErxpJaCa1kWQLw9v2JLlRmesVHU6lOqckuzAp6fV-EbZDw4Ou8PWd1pgRkIGQqmYh8bvUSec9IPbTeWWmqbqq42VkpfKxGG4ElFjiuuRQB21ddOg_mXAgdvklZ-m7stQhVPRZwCP5QyXqysEoFVSqZORdIAt9pENmubmBqEHHthXCdNttlVUnEkQY4k3TABjrQJ-6CaVCAcf4wPG7Yl34QpATvxK-X2vyl3yCK-YZkil7ukVdzN3B74K4XeJ_OHT3y_lsp3zJfw2g |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JTsMwELVQOcCFHbHjA1fT2k6a5IgQVYHCBZB6s7xFCqIpoi2CC-IHOPGHfAkzWVgkBBKnSImtRJ7xLM6bN4TsJeByLZecga-1kKBYzWLnAshSpGl7aWLtsDj57LzdvQpO-mF_ihzWtTAIq6xsf2nTC2td3WlWq9m8zbLmRSsRkEVxIUAv4W2Qt08HoYwQ17f_9IHz4BEXJeGeCBkOr-vnCpBX7icIGhEQNBUcniL42T998TmdBTJXBYv0oPyeRTLl8yUyXzdioNW-XCYvnQxDx2aaPXjHsF08HT3mtuC9LcssKcSmFOtyhvegD7QAkvsHhlTf3tGBHxR7_d5T5LeEV-YlOnxE8ZyWQmBZlD-8Pb9iQ5UJnrBRtOkjqnNHszFcP3-Er5CLztHlYZdVfRaYhYRhzHQSYpuXOPBehpFrJdJI41LdMtZJGRotogjiqNhzzY1og1cNjTfg_KXAwaukkQ9zv0ao5qlIUpCG1jZItNOi7bSWqdextCCrdSLrtVW2oiDHThg3qsaaXatSIgololqRAomsE_Yx67ak4PhjfFSLTX1TJQVe4teZG_-euUtmupdnPdU7Pj_dJLP4BAsWudwijfHdxG9D5DI2O4VmvgPhvvGl |
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=Finite%2Ffixed-time+synchronization+for+Markovian+complex-valued+memristive+neural+networks+with+reaction%E2%80%93diffusion+terms+and+its+application&rft.jtitle=Neurocomputing+%28Amsterdam%29&rft.au=Song%2C+Xiaona&rft.au=Man%2C+Jingtao&rft.au=Song%2C+Shuai&rft.au=Zhang%2C+Yijun&rft.date=2020-11-13&rft.issn=0925-2312&rft.volume=414&rft.spage=131&rft.epage=142&rft_id=info:doi/10.1016%2Fj.neucom.2020.07.024&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_neucom_2020_07_024 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-2312&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-2312&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-2312&client=summon |