Compensation for secondary uncertainty in electro-hydraulic servo system by gain adaptive sliding mode variable structure control View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-04

AUTHORS

You-wang Zhang, Wei-hua Gui

ABSTRACT

Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system, adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty. At the same time, gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort. The results show that the unrealization problem caused by some system’s immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome. On the other hand, the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term’s gain in the GASMVSC make the system possess strong robustness and improved steady accuracy, and the chattering phenomenon of the control effort is also suppressed effectively. More... »

PAGES

256-263

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11771-008-0048-1

DOI

http://dx.doi.org/10.1007/s11771-008-0048-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011145722


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": "Central South University", 
          "id": "https://www.grid.ac/institutes/grid.216417.7", 
          "name": [
            "School of Mechanical and Electrical Engineering, Central South University, 410083, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "You-wang", 
        "id": "sg:person.011504414545.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011504414545.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central South University", 
          "id": "https://www.grid.ac/institutes/grid.216417.7", 
          "name": [
            "School of Information Science and Engineering, Central South University, 410083, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gui", 
        "givenName": "Wei-hua", 
        "id": "sg:person.014564074022.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014564074022.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0165-0114(02)00137-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010716553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0005-1098(01)00070-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016593960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0005-1098(00)00192-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024261974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11771-006-0013-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029727163", 
          "https://doi.org/10.1007/s11771-006-0013-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0045-7949(97)00084-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048852099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/002071798222280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053596357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcst.2004.841680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061572183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2002.804289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2003.811560", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2003.811712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2003.813823", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2004.826215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnn.2004.841786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061716818"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-04", 
    "datePublishedReg": "2008-04-01", 
    "description": "Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system, adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty. At the same time, gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort. The results show that the unrealization problem caused by some system\u2019s immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome. On the other hand, the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term\u2019s gain in the GASMVSC make the system possess strong robustness and improved steady accuracy, and the chattering phenomenon of the control effort is also suppressed effectively.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11771-008-0048-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1295056", 
        "issn": [
          "1005-9784", 
          "1672-7207"
        ], 
        "name": "Journal of Central South University of Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Compensation for secondary uncertainty in electro-hydraulic servo system by gain adaptive sliding mode variable structure control", 
    "pagination": "256-263", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "351a38c19256bf3ab5d3ba821ddf16b21c9ef262d2be34bd0aeab7563a9c4cfa"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11771-008-0048-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011145722"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11771-008-0048-1", 
      "https://app.dimensions.ai/details/publication/pub.1011145722"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:34", 
    "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/v90/0000000001_0000000264/records_8690_00000520.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11771-008-0048-1"
  }
]
 

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/s11771-008-0048-1'

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/s11771-008-0048-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11771-008-0048-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11771-008-0048-1'


 

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

109 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11771-008-0048-1 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N753bc601e369444c859cfcbd0fb70dad
4 schema:citation sg:pub.10.1007/s11771-006-0013-9
5 https://doi.org/10.1016/s0005-1098(00)00192-8
6 https://doi.org/10.1016/s0005-1098(01)00070-x
7 https://doi.org/10.1016/s0045-7949(97)00084-9
8 https://doi.org/10.1016/s0165-0114(02)00137-9
9 https://doi.org/10.1080/002071798222280
10 https://doi.org/10.1109/tcst.2004.841680
11 https://doi.org/10.1109/tnn.2002.804289
12 https://doi.org/10.1109/tnn.2003.811560
13 https://doi.org/10.1109/tnn.2003.811712
14 https://doi.org/10.1109/tnn.2003.813823
15 https://doi.org/10.1109/tnn.2004.826215
16 https://doi.org/10.1109/tnn.2004.841786
17 schema:datePublished 2008-04
18 schema:datePublishedReg 2008-04-01
19 schema:description Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system, adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty. At the same time, gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort. The results show that the unrealization problem caused by some system’s immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome. On the other hand, the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term’s gain in the GASMVSC make the system possess strong robustness and improved steady accuracy, and the chattering phenomenon of the control effort is also suppressed effectively.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N09ed5ee6ec9e44eb99f5310f5242f84e
24 Na9b40ce484ea4e85b369e38ef763c1a3
25 sg:journal.1295056
26 schema:name Compensation for secondary uncertainty in electro-hydraulic servo system by gain adaptive sliding mode variable structure control
27 schema:pagination 256-263
28 schema:productId N9e6a39812d784392b4b12c43fc10c962
29 Nb43b18ac80b147aa9985de1c680bc919
30 Neb05cadf9b09428385c275a102fd8b77
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011145722
32 https://doi.org/10.1007/s11771-008-0048-1
33 schema:sdDatePublished 2019-04-10T22:34
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N2f4658be22a943169b29abe5fa66ac53
36 schema:url http://link.springer.com/10.1007%2Fs11771-008-0048-1
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N09ed5ee6ec9e44eb99f5310f5242f84e schema:volumeNumber 15
41 rdf:type schema:PublicationVolume
42 N2f4658be22a943169b29abe5fa66ac53 schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N65fa34be9216419eaf266fb0cac0d02b rdf:first sg:person.014564074022.19
45 rdf:rest rdf:nil
46 N753bc601e369444c859cfcbd0fb70dad rdf:first sg:person.011504414545.10
47 rdf:rest N65fa34be9216419eaf266fb0cac0d02b
48 N9e6a39812d784392b4b12c43fc10c962 schema:name dimensions_id
49 schema:value pub.1011145722
50 rdf:type schema:PropertyValue
51 Na9b40ce484ea4e85b369e38ef763c1a3 schema:issueNumber 2
52 rdf:type schema:PublicationIssue
53 Nb43b18ac80b147aa9985de1c680bc919 schema:name doi
54 schema:value 10.1007/s11771-008-0048-1
55 rdf:type schema:PropertyValue
56 Neb05cadf9b09428385c275a102fd8b77 schema:name readcube_id
57 schema:value 351a38c19256bf3ab5d3ba821ddf16b21c9ef262d2be34bd0aeab7563a9c4cfa
58 rdf:type schema:PropertyValue
59 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
60 schema:name Mathematical Sciences
61 rdf:type schema:DefinedTerm
62 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
63 schema:name Applied Mathematics
64 rdf:type schema:DefinedTerm
65 sg:journal.1295056 schema:issn 1005-9784
66 1672-7207
67 schema:name Journal of Central South University of Technology
68 rdf:type schema:Periodical
69 sg:person.011504414545.10 schema:affiliation https://www.grid.ac/institutes/grid.216417.7
70 schema:familyName Zhang
71 schema:givenName You-wang
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011504414545.10
73 rdf:type schema:Person
74 sg:person.014564074022.19 schema:affiliation https://www.grid.ac/institutes/grid.216417.7
75 schema:familyName Gui
76 schema:givenName Wei-hua
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014564074022.19
78 rdf:type schema:Person
79 sg:pub.10.1007/s11771-006-0013-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029727163
80 https://doi.org/10.1007/s11771-006-0013-9
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1016/s0005-1098(00)00192-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024261974
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1016/s0005-1098(01)00070-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016593960
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/s0045-7949(97)00084-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048852099
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/s0165-0114(02)00137-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010716553
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1080/002071798222280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053596357
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1109/tcst.2004.841680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061572183
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1109/tnn.2002.804289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716495
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1109/tnn.2003.811560 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716576
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1109/tnn.2003.811712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716582
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1109/tnn.2003.813823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716585
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1109/tnn.2004.826215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716716
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1109/tnn.2004.841786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061716818
105 rdf:type schema:CreativeWork
106 https://www.grid.ac/institutes/grid.216417.7 schema:alternateName Central South University
107 schema:name School of Information Science and Engineering, Central South University, 410083, Changsha, China
108 School of Mechanical and Electrical Engineering, Central South University, 410083, Changsha, China
109 rdf:type schema:Organization
 




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


...