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...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of general systems Vol. 48; no. 3; pp. 211 - 234
Main Authors Boubellouta, A., Zouari, F., Boulkroune, A.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 03.04.2019
Taylor & Francis LLC
Subjects
Online AccessGet full text
ISSN0308-1079
1563-5104
DOI10.1080/03081079.2019.1566231

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