Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities
In this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with input nonlinearities (dead-zone together with sector nonlinearities). These master-slave systems under consideration are supposed to be with...
Saved in:
Published in | International journal of general systems Vol. 48; no. 3; pp. 211 - 234 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
03.04.2019
Taylor & Francis LLC |
Subjects | |
Online Access | Get full text |
ISSN | 0308-1079 1563-5104 |
DOI | 10.1080/03081079.2019.1566231 |
Cover
Loading…
Abstract | In this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with input nonlinearities (dead-zone together with sector nonlinearities). These master-slave systems under consideration are supposed to be with distinct models, different fractional-orders, unknown models, and dynamic external disturbances. The proposed control law consists of two main terms, namely: a fuzzy adaptive control term for appropriately approximating the uncertainties and a fractional-order variable-structure control term for robustly dealing with these inherent input nonlinearities. A Lyapunov approach is used to derive the updated laws and to prove the stability of the closed-loop control system. At last, a set of computer simulation results is carried out to illustrate and further validate the theoretical findings. |
---|---|
AbstractList | In this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with input nonlinearities (dead-zone together with sector nonlinearities). These master-slave systems under consideration are supposed to be with distinct models, different fractional-orders, unknown models, and dynamic external disturbances. The proposed control law consists of two main terms, namely: a fuzzy adaptive control term for appropriately approximating the uncertainties and a fractional-order variable-structure control term for robustly dealing with these inherent input nonlinearities. A Lyapunov approach is used to derive the updated laws and to prove the stability of the closed-loop control system. At last, a set of computer simulation results is carried out to illustrate and further validate the theoretical findings. |
Author | Boulkroune, A. Zouari, F. Boubellouta, A. |
Author_xml | – sequence: 1 givenname: A. surname: Boubellouta fullname: Boubellouta, A. organization: LAJ, University of Jijel – sequence: 2 givenname: F. surname: Zouari fullname: Zouari, F. organization: Université de Tunis El Manar – sequence: 3 givenname: A. orcidid: 0000-0002-1392-6932 surname: Boulkroune fullname: Boulkroune, A. email: boulkroune2002@yahoo.fr organization: LAJ, University of Jijel |
BookMark | eNqFkE1LAzEQhoMoWD9-ghDwvDXZNJsNXhTxCwQveg5pNrGRNKmTLNIe_O3uWr140NMMw_u8DM8B2o0pWoROKJlS0pIzwkhLiZDTmlA5pbxpakZ30GTYWMUpme2iyZipxtA-Osj5lRDKeDuboI_7WGwI_sXGgl2_2ayxSbFACsECdgmwWeiUcV5Hs4AU_UYXnyJODvfRWCjaR-xAm_GqQ5Wgs1umeDNQudhlxu--LLCPq77g4ffgo9Xgi7f5CO05HbI9_p6H6Pnm-unqrnp4vL2_unyoDGNtqcxM6oY2XHSds9y1hgvHuJ13hnZSa9pQV7ettHPZiLkw9UyLWtKmll1DamYNO0Sn294VpLfe5qJeUw_Dw1nVVNBWCsHJkOLblIGUM1inVuCXGtaKEjWqVj-q1ahafaseuPNfnPHly1MB7cO_9MWW9nHwvdTvCUKnil6HBIPZaHxW7O-KT0minVE |
CitedBy_id | crossref_primary_10_1016_j_chaos_2021_110742 crossref_primary_10_1016_j_chaos_2021_111433 crossref_primary_10_1007_s40815_022_01457_y crossref_primary_10_1016_j_ymssp_2021_108646 crossref_primary_10_1155_2022_2656836 crossref_primary_10_1186_s13662_021_03454_1 crossref_primary_10_1016_j_chaos_2019_109462 crossref_primary_10_1002_acs_3084 crossref_primary_10_1155_2021_8631019 crossref_primary_10_1038_s41598_024_76371_4 crossref_primary_10_1080_03081079_2020_1870223 crossref_primary_10_1109_ACCESS_2020_3008296 crossref_primary_10_1080_03081079_2021_1907365 crossref_primary_10_1109_ACCESS_2019_2926526 crossref_primary_10_1016_j_matcom_2020_06_022 crossref_primary_10_1088_1402_4896_ac79d8 crossref_primary_10_1007_s40042_020_00017_7 crossref_primary_10_1016_j_chaos_2020_109919 crossref_primary_10_1016_j_measurement_2024_115989 crossref_primary_10_1007_s13042_021_01286_9 crossref_primary_10_1002_mma_9854 crossref_primary_10_1186_s13662_021_03320_0 crossref_primary_10_1080_03081079_2021_1919102 crossref_primary_10_1007_s00500_021_06197_z crossref_primary_10_1177_10775463221111839 crossref_primary_10_1080_17445760_2021_1991923 crossref_primary_10_1016_j_engappai_2021_104163 crossref_primary_10_1080_03081079_2021_1976774 crossref_primary_10_1038_s41598_024_84967_z crossref_primary_10_1109_TNNLS_2022_3155635 crossref_primary_10_1177_01423312221148241 crossref_primary_10_1016_j_chaos_2024_115610 crossref_primary_10_1016_j_chaos_2024_115534 crossref_primary_10_1177_10775463221124174 crossref_primary_10_1002_rnc_5487 crossref_primary_10_1007_s40815_019_00786_9 crossref_primary_10_1016_j_oceaneng_2021_108791 crossref_primary_10_1007_s11071_020_05574_x crossref_primary_10_1080_03081079_2021_1985486 crossref_primary_10_1016_j_aej_2020_05_031 crossref_primary_10_1177_1077546320962639 crossref_primary_10_1002_rnc_6517 crossref_primary_10_1007_s40815_020_00878_x crossref_primary_10_1016_j_chaos_2021_110698 crossref_primary_10_1007_s00521_020_05539_6 crossref_primary_10_1080_03081079_2024_2380917 crossref_primary_10_1016_j_cnsns_2024_108036 crossref_primary_10_1177_10775463251320258 crossref_primary_10_1016_j_neucom_2019_07_096 crossref_primary_10_1109_TVT_2020_3021136 crossref_primary_10_1186_s13662_021_03224_z |
Cites_doi | 10.1140/epjst/e2014-02184-0 10.1007/978-90-481-3293-5 10.1016/j.isatra.2011.10.011 10.1016/j.physa.2005.01.021 10.1007/978-1-4020-6042-7 10.1080/03081079.2014.976217 10.1023/A:1016592219341 10.3311/PPee.8507 10.1002/cplx.21596 10.1007/s11071-011-0282-1 10.1016/j.sigpro.2006.02.022 10.1103/PhysRevLett.91.034101 10.1016/j.neucom.2015.08.003 10.1016/j.ins.2018.04.069 10.1016/j.chaos.2006.07.051 10.1201/9781420065619 10.1002/acs.1062 10.1016/j.neucom.2016.09.050 10.1016/j.neucom.2015.12.010 10.1007/978-3-319-30279-9_15 10.1006/jmaa.2000.7194 10.1007/s11071-017-3427-z 10.1007/978-3-319-08621-7 10.1016/j.isatra.2011.06.001 10.1016/j.chaos.2011.04.005 10.1016/j.cnsns.2008.05.011 10.1049/iet-pel.2016.1001 10.1016/j.physa.2004.04.113 10.1016/j.camwa.2009.08.019 10.1109/TFUZZ.2011.2127482 10.1016/j.automatica.2005.03.004 10.1016/j.fss.2010.09.001 10.1080/03081079.2014.914929 10.1080/03081079.2017.1324854 10.1002/cplx.21737 10.1088/1674-1056/23/10/100501 10.1080/03081079.2015.1118094 10.1109/TFUZZ.2012.2188637 10.1016/j.neucom.2016.02.037 10.1016/j.fss.2015.08.027 10.1002/rnc.1565 10.1016/j.na.2009.06.065 10.1016/j.chaos.2007.06.082 10.1080/03081079.2014.893299 10.1007/s00521-016-2369-6 10.1007/s00521-015-1938-4 10.1142/3779 10.1016/j.chaos.2005.02.023 10.1016/j.fss.2007.08.015 10.1007/s13042-015-0425-7 |
ContentType | Journal Article |
Copyright | 2019 Informa UK Limited, trading as Taylor & Francis Group 2019 2019 Informa UK Limited, trading as Taylor & Francis Group |
Copyright_xml | – notice: 2019 Informa UK Limited, trading as Taylor & Francis Group 2019 – notice: 2019 Informa UK Limited, trading as Taylor & Francis Group |
DBID | AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
DOI | 10.1080/03081079.2019.1566231 |
DatabaseName | CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
DatabaseTitle | CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional |
DatabaseTitleList | Computer and Information Systems Abstracts |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1563-5104 |
EndPage | 234 |
ExternalDocumentID | 10_1080_03081079_2019_1566231 1566231 |
Genre | Article |
GrantInformation_xml | – fundername: Algerian Ministry of Higher Education and Scientific Research and the General Direction of Scientific Research as a part of Project PRFU grantid: A01L08UN180120180002 funderid: 10.13039/501100007335 |
GroupedDBID | .4S .7F .DC .QJ 0BK 0R~ 29J 30N 3R3 4.4 5GY 5VS AAENE AAJMT AALDU AAMIU AAPUL AAQRR ABCCY ABDBF ABFIM ABHAV ABJNI ABLIJ ABPAQ ABPEM ABTAI ABXUL ABXYU ACGEJ ACGFS ACGOD ACTIO ACUHS ADCVX ADGTB ADXPE AEISY AENEX AEOZL AEPSL AEYOC AFKVX AGDLA AGMYJ AHDZW AIJEM AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH ARCSS AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EAP EBS EDO EJD EMK EPL EST ESX E~A E~B GTTXZ H13 HF~ HZ~ H~P I-F IPNFZ J.P KYCEM LJTGL M4Z NA5 NX~ O9- P2P PQQKQ RIG RNANH ROSJB RTWRZ S-T SNACF TAJZE TBQAZ TDBHL TEN TFL TFT TFW TN5 TNC TTHFI TUROJ TUS TWF UT5 UU3 ZGOLN ~S~ AAGDL AAHIA AAYXX ADMLS ADYSH AFRVT AIYEW AMPGV AMVHM CITATION 7SC 8FD JQ2 L7M L~C L~D TASJS |
ID | FETCH-LOGICAL-c338t-c49a61657ddfe5f8c57f35ebdc1d9aa161f2889eb967b7c24a7291629d6023ec3 |
ISSN | 0308-1079 |
IngestDate | Sun Jul 13 05:27:06 EDT 2025 Tue Jul 01 01:43:51 EDT 2025 Thu Apr 24 23:05:27 EDT 2025 Wed Dec 25 09:08:20 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c338t-c49a61657ddfe5f8c57f35ebdc1d9aa161f2889eb967b7c24a7291629d6023ec3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0002-1392-6932 |
PQID | 2171897750 |
PQPubID | 53024 |
PageCount | 24 |
ParticipantIDs | proquest_journals_2171897750 informaworld_taylorfrancis_310_1080_03081079_2019_1566231 crossref_primary_10_1080_03081079_2019_1566231 crossref_citationtrail_10_1080_03081079_2019_1566231 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-04-03 |
PublicationDateYYYYMMDD | 2019-04-03 |
PublicationDate_xml | – month: 04 year: 2019 text: 2019-04-03 day: 03 |
PublicationDecade | 2010 |
PublicationPlace | Abingdon |
PublicationPlace_xml | – name: Abingdon |
PublicationTitle | International journal of general systems |
PublicationYear | 2019 |
Publisher | Taylor & Francis Taylor & Francis LLC |
Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis LLC |
References | CIT0030 CIT0032 CIT0031 CIT0034 CIT0033 CIT0036 CIT0035 CIT0038 CIT0037 Wang L.-X. (CIT0048) 1994 CIT0041 CIT0040 CIT0043 CIT0042 CIT0001 CIT0045 CIT0044 CIT0047 CIT0002 CIT0046 CIT0005 CIT0049 CIT0004 Bandyopadhyay B. (CIT0003) 2015 CIT0007 CIT0006 CIT0009 CIT0008 CIT0050 CIT0052 CIT0051 CIT0010 Podlubny I. (CIT0039) 1999 CIT0012 CIT0011 CIT0014 CIT0013 CIT0016 CIT0015 CIT0018 CIT0017 CIT0019 CIT0021 CIT0020 CIT0023 CIT0022 CIT0025 CIT0024 CIT0027 CIT0026 CIT0029 CIT0028 |
References_xml | – ident: CIT0005 doi: 10.1140/epjst/e2014-02184-0 – ident: CIT0002 doi: 10.1007/978-90-481-3293-5 – ident: CIT0001 doi: 10.1016/j.isatra.2011.10.011 – ident: CIT0017 doi: 10.1016/j.physa.2005.01.021 – ident: CIT0042 doi: 10.1007/978-1-4020-6042-7 – ident: CIT0037 doi: 10.1080/03081079.2014.976217 – ident: CIT0019 doi: 10.1023/A:1016592219341 – ident: CIT0025 doi: 10.3311/PPee.8507 – ident: CIT0009 doi: 10.1002/cplx.21596 – ident: CIT0050 doi: 10.1007/s11071-011-0282-1 – ident: CIT0015 doi: 10.1016/j.sigpro.2006.02.022 – ident: CIT0021 doi: 10.1103/PhysRevLett.91.034101 – volume-title: Adaptive Fuzzy Systems and Control: Design and Stability Analysis year: 1994 ident: CIT0048 – ident: CIT0008 doi: 10.1016/j.neucom.2015.08.003 – ident: CIT0033 doi: 10.1016/j.ins.2018.04.069 – ident: CIT0016 doi: 10.1016/j.chaos.2006.07.051 – ident: CIT0047 doi: 10.1201/9781420065619 – ident: CIT0020 doi: 10.1002/acs.1062 – ident: CIT0032 doi: 10.1016/j.neucom.2016.09.050 – ident: CIT0007 doi: 10.1016/j.neucom.2015.12.010 – ident: CIT0014 doi: 10.1007/978-3-319-30279-9_15 – ident: CIT0018 doi: 10.1006/jmaa.2000.7194 – ident: CIT0035 doi: 10.1007/s11071-017-3427-z – volume-title: Stabilization and Control of Fractional Order Systems: a Sliding Mode Approach year: 2015 ident: CIT0003 doi: 10.1007/978-3-319-08621-7 – ident: CIT0029 doi: 10.1016/j.isatra.2011.06.001 – ident: CIT0031 doi: 10.1016/j.chaos.2011.04.005 – ident: CIT0044 doi: 10.1016/j.cnsns.2008.05.011 – ident: CIT0006 doi: 10.1049/iet-pel.2016.1001 – ident: CIT0026 doi: 10.1016/j.physa.2004.04.113 – ident: CIT0027 doi: 10.1016/j.camwa.2009.08.019 – ident: CIT0030 doi: 10.1109/TFUZZ.2011.2127482 – ident: CIT0043 doi: 10.1016/j.automatica.2005.03.004 – ident: CIT0010 doi: 10.1016/j.fss.2010.09.001 – ident: CIT0036 doi: 10.1080/03081079.2014.914929 – ident: CIT0045 doi: 10.1080/03081079.2017.1324854 – ident: CIT0023 doi: 10.1002/cplx.21737 – ident: CIT0028 doi: 10.1088/1674-1056/23/10/100501 – ident: CIT0022 doi: 10.1080/03081079.2015.1118094 – ident: CIT0046 doi: 10.1109/TFUZZ.2012.2188637 – ident: CIT0004 doi: 10.1016/j.neucom.2016.02.037 – volume-title: Fractional Differential Equations year: 1999 ident: CIT0039 – ident: CIT0041 doi: 10.1016/j.fss.2015.08.027 – ident: CIT0038 doi: 10.1002/rnc.1565 – ident: CIT0049 doi: 10.1016/j.na.2009.06.065 – ident: CIT0051 doi: 10.1016/j.chaos.2007.06.082 – ident: CIT0040 doi: 10.1080/03081079.2014.893299 – ident: CIT0052 doi: 10.1007/s00521-016-2369-6 – ident: CIT0013 doi: 10.1007/s00521-015-1938-4 – ident: CIT0024 doi: 10.1142/3779 – ident: CIT0034 doi: 10.1016/j.chaos.2005.02.023 – ident: CIT0011 doi: 10.1016/j.fss.2007.08.015 – ident: CIT0012 doi: 10.1007/s13042-015-0425-7 |
SSID | ssj0013584 |
Score | 2.4183412 |
Snippet | In this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with... |
SourceID | proquest crossref informaworld |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 211 |
SubjectTerms | Adaptive control Chaos theory Computer simulation Control stability Control theory fractional-order variable structure control Fuzzy control Fuzzy systems Generalized projective synchronization incommensurate fractional-order chaotic systems Synchronism |
Title | Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities |
URI | https://www.tandfonline.com/doi/abs/10.1080/03081079.2019.1566231 https://www.proquest.com/docview/2171897750 |
Volume | 48 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaW9gIHxFMUCvKB2yrRJo6T-LgCqgUJTq2ouESOH4BYbao0ObAHfhK_kfEjWWdbUcrFWkWxnex8sWfGM98g9LrkVEotjHsJmqzgMuJMqiipJSkUq5mwGXIfP-Wrs-zDOT2fzX4HUUt9V8die21eyf9IFa6BXE2W7C0kOw4KF-A3yBdakDC0_yTj9yOfZjfX_Xb7c4g8X6vWxg-Kb7y5NKwEwnLgbkf9EHYzFwsw161LbeDryNJw2j6GxdVxPPvst--bi76bbxyvBm8tDWuo104diwEdxVdHaz2MNlr_TW9OPJreKa_LeHRgN4BZG2FwEgc3r3-0sCyp4F7vqUjsocuCBAsasVSyrnhMrPyCm5OI-hLEw4qclQHyyGR5TYKdOnVu0CubgI-ahNnMZCZ8j8XGTE39fjMh3d7bDMcQxWTgTvXDVGaYyg9zBx2mYJbARnC4XL398nl3bkVLR1jm33TIGTNs7tc9z0QbmnDlXtENrMJz-gDd95YKXjrYPUQztXmE7gX8lY_RrwCA2AIQ7wCIYRZsAYj3AIgbjUcA4n0AYg9A7CGDDQCxBSCeAvAJOjt5d_pmFfmCHpEgpOwikTGeJzktYHlQVJeCFppQVUuRSMY5GB86LUumapYXdSHSjIPpl-QpkzmolkqQp-gAJlLPEC54AaaDVIu0TjPBE6ZZZsrpcWaCtsvFEcqGP7YSnu3eFF1ZV38V7BGKx24Xju7lpg4slFrVWT-bdkVxKnJD3-NBxJX_MC-rNAFtEYwyunh-22d5ge7uPrtjdNC1vXoJKnNXv_I4_QOjTb_4 |
linkProvider | Library Specific Holdings |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LTwIxEG4MHtSDbyOK2oPXRfbR7fZojAQUOEHCren2EY1kIbAc4OBvt49dRI3hwGUvm2m37bSdmZ3vGwDuE4aEUNyEl_Qjwkx4jAjp-akIsSQp4RYh1-3FrUH0MkTDNSyMSas0PrRyRBH2rDab2wSjy5S4B8Oxot0WgzPxSd14IIGBUu8iEmOzOcNG7_tPAkochZSlMcWkRPH818yP--kHe-mf09peQc0jwMuPd5knH_V5ntb58hev43ajOwaHhYUKH51KnYAdmZ2CgzXewjPw2V4ReeZQzZfLBSxS3kdyCvVYIH9j4xmcLTJuyXcd1hOOFdTXqEtCgGrqMBVs5Fn-Tyuj-4SOXHoGTYgYvmeTeQ4zNxI2tfyv52DQfO4_tbyikIPHtQecezwiLPZjhLVaSKQSjrAKkUwF9wVhTBudKkgSIlO9finmQcS0ye_HARGxNikkDy9ARXckLwHEDGuTUchGkAYRZz5RJDJl1BgxybpJowqicvkoL1jOTbGNEfVLMtRieqmZXlpMbxXUV2ITR_OxSYCs6wbNbXxFuWIoNNwgWysViRYnxoxq19BPtDGOGldbNH0H9lr9bod22r3Xa7BvXtk0o7AGKvl0Lm-0BZWnt3aLfAHCzg-k |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELZQkRAMvBGFAh5YU5qn4xEBVcujYqASm-WnQFRp1aRDO_Db8SMpLQh1YMkSnR07Z_vu_N13AFymNBZCcRNe0o8IUeFRLKTnMxEiiRnmNkPuqZd0-tH9a1yhCfMSVml8aOWIIuxebRb3SKgKEXdlKFa012LSTHzcNA5IYDKp1xNzyWeyOFq974uEOHUMUpbFFOEqieevZpaOpyXy0l-btT2B2juAVd_ugCcfzUnBmnz2g9bxX4PbBdulfQqvnULtgTWZ7YOtBdbCA_DZndN4FlBNZrMpLAHvAzmGeiiQv9FhDvNpxi31rsv0hEMF9SHqIAhQjV1GBR14lv3Tyug-oaOWzqEJEMP3bDQpYOYGQseW_fUQ9Nt3Lzcdryzj4HHt_xYejzBN_CRGWilkrFIeIxXGkgnuC0ypNjlVkKZYMpwghngQUW3w-0mARaINCsnDI1DTHcljABFF2mAUshWwIOLUxwpHpogaxQaqm7bqIKr-HuElx7kptTEgfkWFWk4vMdNLyumtg-ZcbORIPlYJ4EXVIIWNrihXCoWEK2QblR6Rcr_IiXYM_VSb4nHr5B9NX4CN59s2eez2Hk7BpnljMUZhA9SK8USeafOpYOd2gXwBWr0OSA |
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=Intelligent+fuzzy+controller+for+chaos+synchronization+of+uncertain+fractional-order+chaotic+systems+with+input+nonlinearities&rft.jtitle=International+journal+of+general+systems&rft.au=Boubellouta%2C+A.&rft.au=Zouari%2C+F.&rft.au=Boulkroune%2C+A.&rft.date=2019-04-03&rft.issn=0308-1079&rft.eissn=1563-5104&rft.volume=48&rft.issue=3&rft.spage=211&rft.epage=234&rft_id=info:doi/10.1080%2F03081079.2019.1566231&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_03081079_2019_1566231 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0308-1079&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0308-1079&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0308-1079&client=summon |