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Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints.

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Title: Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints.
Authors: Ding, Liang1, liangding@hit.edu.cn, Zheng, Miao1, Li, Shu1,2, Yang, Huaiguang1, Gao, Haibo1, Deng, Zongquan1
Source: Asian Journal of Control; Jan2024, Vol. 26 Issue 1, p297-311, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174635400
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PubType: Academic Journal
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  Data: Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints.
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  Data: <searchLink fieldCode="AU" term="%22Ding%2C+Liang%22">Ding, Liang</searchLink><relatesTo>1</relatesTo>, <i>liangding@hit.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zheng%2C+Miao%22">Zheng, Miao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Shu%22">Li, Shu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Huaiguang%22">Yang, Huaiguang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gao%2C+Haibo%22">Gao, Haibo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Deng%2C+Zongquan%22">Deng, Zongquan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>; Jan2024, Vol. 26 Issue 1, p297-311, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174635400
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      – Type: doi
        Value: 10.1002/asjc.3203
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 297
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      – TitleFull: Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints.
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            NameFull: Zheng, Miao
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            NameFull: Li, Shu
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            NameFull: Yang, Huaiguang
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            – D: 01
              M: 01
              Text: Jan2024
              Type: published
              Y: 2024
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