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Adaptive sliding mode attitude control of two-wheel mobile robot with an integrated learning-based RBFNN approach.

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Bibliographic Details
Title: Adaptive sliding mode attitude control of two-wheel mobile robot with an integrated learning-based RBFNN approach.
Authors: Pang, Hui1, Liu, Minhao1, Hu, Chuan2, chu4@alaska.edu, Zhang, Fengqi1
Source: Neural Computing & Applications; Sep2022, Vol. 34 Issue 17, p14959-14969, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 158507327
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Pang%2C+Hui%22">Pang, Hui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Minhao%22">Liu, Minhao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hu%2C+Chuan%22">Hu, Chuan</searchLink><relatesTo>2</relatesTo>, <i>chu4@alaska.edu</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Fengqi%22">Zhang, Fengqi</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Sep2022, Vol. 34 Issue 17, p14959-14969, 11p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00521-022-07304-3
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 14959
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      – TitleFull: Adaptive sliding mode attitude control of two-wheel mobile robot with an integrated learning-based RBFNN approach.
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            NameFull: Pang, Hui
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            NameFull: Liu, Minhao
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            NameFull: Hu, Chuan
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            NameFull: Zhang, Fengqi
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            – D: 01
              M: 09
              Text: Sep2022
              Type: published
              Y: 2022
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              Value: 34
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              Value: 17
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            – TitleFull: Neural Computing & Applications
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