Bifurcation surfaces and multi-stability analysis of state feedback control of PMSM View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Wahid Souhail, Hedi Khammari, Mohamed Faouzi Mimouni

ABSTRACT

The paper presents a thorough bifurcation analysis of detailed permanent magnet machine with feedback drive, showing the effect of different control and system parameters on the bifurcation and the associated system stability. This study addresses the nonlinear behavior of the PMSM under parametric variation. The analysis of the phase space and parametric singularities are developed in order to identify some specific properties of the PMSM either uncontrolled or under state feedback control. A bifurcation structure of the uncontrolled PMSM in both motor and generator operating modes is identified in the speed-torque chart. The analysis of the complex dynamics of state feedback control of the PMSM permitted to define analytically the bifurcation surfaces of saddle-node (Limit point) and Hopf bifurcations. Seeking broader areas of parametric singularities led to establish the analytical existence conditions of bifurcation manifolds and particularly the bifurcation surfaces. The appearance of intermittent chaotic areas interspersed with cascading bifurcations by doubling the period of limit cycle has been observed in the controlled PMSM. The analysis of the attraction basins in the phase plane, and the synchronization regions in the parametric plane with constant initialization, pave the way to further characterization of the PMSM dynamics with different types of control methods. More... »

PAGES

276-294

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40435-018-0443-x

DOI

http://dx.doi.org/10.1007/s40435-018-0443-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104511672


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Monastir", 
          "id": "https://www.grid.ac/institutes/grid.411838.7", 
          "name": [
            "Laboratory of Automation, Electrical System and Environment (LAESE), National Engineering School of Monastir, 5019, Monastir, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Souhail", 
        "givenName": "Wahid", 
        "id": "sg:person.07741742402.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741742402.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Taif University", 
          "id": "https://www.grid.ac/institutes/grid.412895.3", 
          "name": [
            "College of Computers and IT, Taif University, Ta\u2019if, Saudi Arabia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khammari", 
        "givenName": "Hedi", 
        "id": "sg:person.015673665671.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015673665671.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Monastir", 
          "id": "https://www.grid.ac/institutes/grid.411838.7", 
          "name": [
            "Laboratory of Automation, Electrical System and Environment (LAESE), National Engineering School of Monastir, 5019, Monastir, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mimouni", 
        "givenName": "Mohamed Faouzi", 
        "id": "sg:person.015117075573.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015117075573.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1007-5704(02)00133-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003242733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1007-5704(02)00133-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003242733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nonrwa.2007.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005164618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nonrwa.2005.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007959344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11071-013-0989-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009312442", 
          "https://doi.org/10.1007/s11071-013-0989-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjst/e2015-02474-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010264597", 
          "https://doi.org/10.1140/epjst/e2015-02474-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1631/jzus.2006.a1979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010412196", 
          "https://doi.org/10.1631/jzus.2006.a1979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chaos.2008.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012399235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11071-016-2849-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013547086", 
          "https://doi.org/10.1007/s11071-016-2849-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-0779(02)00171-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014745647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chaos.2004.02.054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015219937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1631/fitee.1500056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015403589", 
          "https://doi.org/10.1631/fitee.1500056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-0427(00)00458-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020103824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijnonlinmec.2015.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021458173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2006.10.074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023602182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-0779(02)00677-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029390902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-0779(02)00677-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029390902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chaos.2011.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036312885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecocom.2013.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038487061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-0779(02)00108-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040995387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1042794398", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-7979-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042794398", 
          "https://doi.org/10.1007/978-1-4419-7979-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-7979-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042794398", 
          "https://doi.org/10.1007/978-1-4419-7979-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cnsns.2008.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044789426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmmm.2015.04.062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048975041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4927643", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058094520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1674-1056/21/10/100506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059151095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.52.5540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060718652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.52.5540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060718652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/81.989176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061237470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/9.478226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061244733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218127408021658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062955443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218127414501314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062957150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218127496000217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062958286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/vppc.2009.5289840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094250310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/emeit.2011.6023629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094827559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/cp.2010.0040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098676325"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "The paper presents a thorough bifurcation analysis of detailed permanent magnet machine with feedback drive, showing the effect of different control and system parameters on the bifurcation and the associated system stability. This study addresses the nonlinear behavior of the PMSM under parametric variation. The analysis of the phase space and parametric singularities are developed in order to identify some specific properties of the PMSM either uncontrolled or under state feedback control. A bifurcation structure of the uncontrolled PMSM in both motor and generator operating modes is identified in the speed-torque chart. The analysis of the complex dynamics of state feedback control of the PMSM permitted to define analytically the bifurcation surfaces of saddle-node (Limit point) and Hopf bifurcations. Seeking broader areas of parametric singularities led to establish the analytical existence conditions of bifurcation manifolds and particularly the bifurcation surfaces. The appearance of intermittent chaotic areas interspersed with cascading bifurcations by doubling the period of limit cycle has been observed in the controlled PMSM. The analysis of the attraction basins in the phase plane, and the synchronization regions in the parametric plane with constant initialization, pave the way to further characterization of the PMSM dynamics with different types of control methods.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40435-018-0443-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136728", 
        "issn": [
          "2195-268X", 
          "2195-2698"
        ], 
        "name": "International Journal of Dynamics and Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Bifurcation surfaces and multi-stability analysis of state feedback control of PMSM", 
    "pagination": "276-294", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1b223a08bbd33c04c6bb3fb9e67200c9a908b6d0eb005b1e4cf4475cce6e8b03"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40435-018-0443-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104511672"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40435-018-0443-x", 
      "https://app.dimensions.ai/details/publication/pub.1104511672"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130829_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40435-018-0443-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40435-018-0443-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40435-018-0443-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40435-018-0443-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40435-018-0443-x'


 

This table displays all metadata directly associated to this object as RDF triples.

182 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40435-018-0443-x schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N69e2d1c6cdef49ccb75a73419a85dbfd
4 schema:citation sg:pub.10.1007/978-1-4419-7979-7
5 sg:pub.10.1007/s11071-013-0989-2
6 sg:pub.10.1007/s11071-016-2849-3
7 sg:pub.10.1140/epjst/e2015-02474-y
8 sg:pub.10.1631/fitee.1500056
9 sg:pub.10.1631/jzus.2006.a1979
10 https://app.dimensions.ai/details/publication/pub.1042794398
11 https://doi.org/10.1016/j.chaos.2004.02.054
12 https://doi.org/10.1016/j.chaos.2008.05.019
13 https://doi.org/10.1016/j.chaos.2011.11.008
14 https://doi.org/10.1016/j.cnsns.2008.09.001
15 https://doi.org/10.1016/j.ecocom.2013.12.004
16 https://doi.org/10.1016/j.ijnonlinmec.2015.10.016
17 https://doi.org/10.1016/j.jmmm.2015.04.062
18 https://doi.org/10.1016/j.nonrwa.2005.01.003
19 https://doi.org/10.1016/j.nonrwa.2007.03.009
20 https://doi.org/10.1016/j.physleta.2006.10.074
21 https://doi.org/10.1016/s0377-0427(00)00458-1
22 https://doi.org/10.1016/s0960-0779(02)00108-x
23 https://doi.org/10.1016/s0960-0779(02)00171-6
24 https://doi.org/10.1016/s0960-0779(02)00677-x
25 https://doi.org/10.1016/s1007-5704(02)00133-8
26 https://doi.org/10.1049/cp.2010.0040
27 https://doi.org/10.1063/1.4927643
28 https://doi.org/10.1088/1674-1056/21/10/100506
29 https://doi.org/10.1103/physreve.52.5540
30 https://doi.org/10.1109/81.989176
31 https://doi.org/10.1109/9.478226
32 https://doi.org/10.1109/emeit.2011.6023629
33 https://doi.org/10.1109/vppc.2009.5289840
34 https://doi.org/10.1142/s0218127408021658
35 https://doi.org/10.1142/s0218127414501314
36 https://doi.org/10.1142/s0218127496000217
37 schema:datePublished 2019-03
38 schema:datePublishedReg 2019-03-01
39 schema:description The paper presents a thorough bifurcation analysis of detailed permanent magnet machine with feedback drive, showing the effect of different control and system parameters on the bifurcation and the associated system stability. This study addresses the nonlinear behavior of the PMSM under parametric variation. The analysis of the phase space and parametric singularities are developed in order to identify some specific properties of the PMSM either uncontrolled or under state feedback control. A bifurcation structure of the uncontrolled PMSM in both motor and generator operating modes is identified in the speed-torque chart. The analysis of the complex dynamics of state feedback control of the PMSM permitted to define analytically the bifurcation surfaces of saddle-node (Limit point) and Hopf bifurcations. Seeking broader areas of parametric singularities led to establish the analytical existence conditions of bifurcation manifolds and particularly the bifurcation surfaces. The appearance of intermittent chaotic areas interspersed with cascading bifurcations by doubling the period of limit cycle has been observed in the controlled PMSM. The analysis of the attraction basins in the phase plane, and the synchronization regions in the parametric plane with constant initialization, pave the way to further characterization of the PMSM dynamics with different types of control methods.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N6db13d60a5bc4aee8a8a882e707a4bc3
44 Na6db2519c72945eb9f963266b1e44c25
45 sg:journal.1136728
46 schema:name Bifurcation surfaces and multi-stability analysis of state feedback control of PMSM
47 schema:pagination 276-294
48 schema:productId N39c2dacd1158471ea75c65058c9edbd9
49 N4e75206c2e24428dbdf5ea671e3b2ba0
50 N87523ed65b8e4c8db4e7cf502b5ffb42
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104511672
52 https://doi.org/10.1007/s40435-018-0443-x
53 schema:sdDatePublished 2019-04-11T14:01
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N13829fadbcc742da8294530b6e9d61ae
56 schema:url https://link.springer.com/10.1007%2Fs40435-018-0443-x
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N13829fadbcc742da8294530b6e9d61ae schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N39c2dacd1158471ea75c65058c9edbd9 schema:name doi
63 schema:value 10.1007/s40435-018-0443-x
64 rdf:type schema:PropertyValue
65 N4e75206c2e24428dbdf5ea671e3b2ba0 schema:name dimensions_id
66 schema:value pub.1104511672
67 rdf:type schema:PropertyValue
68 N69e2d1c6cdef49ccb75a73419a85dbfd rdf:first sg:person.07741742402.06
69 rdf:rest Na9e3c892f88c4fe2aedeb20c6d871f11
70 N6db13d60a5bc4aee8a8a882e707a4bc3 schema:issueNumber 1
71 rdf:type schema:PublicationIssue
72 N87523ed65b8e4c8db4e7cf502b5ffb42 schema:name readcube_id
73 schema:value 1b223a08bbd33c04c6bb3fb9e67200c9a908b6d0eb005b1e4cf4475cce6e8b03
74 rdf:type schema:PropertyValue
75 Na6db2519c72945eb9f963266b1e44c25 schema:volumeNumber 7
76 rdf:type schema:PublicationVolume
77 Na9e3c892f88c4fe2aedeb20c6d871f11 rdf:first sg:person.015673665671.22
78 rdf:rest Nfef51954bc5b4b5db044da8fdc28a628
79 Nfef51954bc5b4b5db044da8fdc28a628 rdf:first sg:person.015117075573.34
80 rdf:rest rdf:nil
81 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
82 schema:name Mathematical Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
85 schema:name Applied Mathematics
86 rdf:type schema:DefinedTerm
87 sg:journal.1136728 schema:issn 2195-268X
88 2195-2698
89 schema:name International Journal of Dynamics and Control
90 rdf:type schema:Periodical
91 sg:person.015117075573.34 schema:affiliation https://www.grid.ac/institutes/grid.411838.7
92 schema:familyName Mimouni
93 schema:givenName Mohamed Faouzi
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015117075573.34
95 rdf:type schema:Person
96 sg:person.015673665671.22 schema:affiliation https://www.grid.ac/institutes/grid.412895.3
97 schema:familyName Khammari
98 schema:givenName Hedi
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015673665671.22
100 rdf:type schema:Person
101 sg:person.07741742402.06 schema:affiliation https://www.grid.ac/institutes/grid.411838.7
102 schema:familyName Souhail
103 schema:givenName Wahid
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741742402.06
105 rdf:type schema:Person
106 sg:pub.10.1007/978-1-4419-7979-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042794398
107 https://doi.org/10.1007/978-1-4419-7979-7
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s11071-013-0989-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009312442
110 https://doi.org/10.1007/s11071-013-0989-2
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s11071-016-2849-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013547086
113 https://doi.org/10.1007/s11071-016-2849-3
114 rdf:type schema:CreativeWork
115 sg:pub.10.1140/epjst/e2015-02474-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1010264597
116 https://doi.org/10.1140/epjst/e2015-02474-y
117 rdf:type schema:CreativeWork
118 sg:pub.10.1631/fitee.1500056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015403589
119 https://doi.org/10.1631/fitee.1500056
120 rdf:type schema:CreativeWork
121 sg:pub.10.1631/jzus.2006.a1979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010412196
122 https://doi.org/10.1631/jzus.2006.a1979
123 rdf:type schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1042794398 schema:CreativeWork
125 https://doi.org/10.1016/j.chaos.2004.02.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015219937
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.chaos.2008.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012399235
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.chaos.2011.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036312885
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.cnsns.2008.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044789426
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.ecocom.2013.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038487061
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.ijnonlinmec.2015.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021458173
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.jmmm.2015.04.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048975041
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.nonrwa.2005.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007959344
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.nonrwa.2007.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005164618
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.physleta.2006.10.074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023602182
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/s0377-0427(00)00458-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020103824
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/s0960-0779(02)00108-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040995387
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s0960-0779(02)00171-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014745647
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/s0960-0779(02)00677-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029390902
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s1007-5704(02)00133-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003242733
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1049/cp.2010.0040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098676325
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1063/1.4927643 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058094520
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1088/1674-1056/21/10/100506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059151095
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1103/physreve.52.5540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060718652
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1109/81.989176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061237470
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1109/9.478226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061244733
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1109/emeit.2011.6023629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094827559
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1109/vppc.2009.5289840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094250310
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1142/s0218127408021658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062955443
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1142/s0218127414501314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062957150
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1142/s0218127496000217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062958286
176 rdf:type schema:CreativeWork
177 https://www.grid.ac/institutes/grid.411838.7 schema:alternateName University of Monastir
178 schema:name Laboratory of Automation, Electrical System and Environment (LAESE), National Engineering School of Monastir, 5019, Monastir, Tunisia
179 rdf:type schema:Organization
180 https://www.grid.ac/institutes/grid.412895.3 schema:alternateName Taif University
181 schema:name College of Computers and IT, Taif University, Ta’if, Saudi Arabia
182 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...