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Neural Network Based Terminal Sliding Mode Control for WMRs Affected by an Augmented Ground Friction With Slippage Effect

Ming Yue Linjiu Wang Teng Ma

自动化学报（英文版）2017，Vol.4Issue(3)：498-506,9.

自动化学报（英文版）2017，Vol.4Issue(3)：498-506,9.DOI:10.1109/JAS.2017.7510553

Neural Network Based Terminal Sliding Mode Control for WMRs Affected by an Augmented Ground Friction With Slippage Effect

Ming Yue ¹Linjiu Wang ²Teng Ma¹

作者信息

1. School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
2. State Key Laboratory of Robotics and System,Harbin Institute of Technology, Harbin 150001, China
折叠

摘要

关键词

Ground friction/radial basis function (RBF) neural network (NN)/slippage effect/terminal sliding mode control (TSMC)/wheeled mobile robot (WMR)

Key words

Ground friction/radial basis function (RBF) neural network (NN)/slippage effect/terminal sliding mode control (TSMC)/wheeled mobile robot (WMR)

引用本文复制引用

Ming Yue,Linjiu Wang,Teng Ma..Neural Network Based Terminal Sliding Mode Control for WMRs Affected by an Augmented Ground Friction With Slippage Effect[J].自动化学报（英文版）,2017,4(3):498-506,9.

基金项目

This work was supported by the National Natural Science Foundation of China (61573078,61573147),the International S&T Cooperation Program of China (2014DFB70120),and the State Key Laboratory of Robotics and System (SKLRS2015ZD06). （61573078,61573147）

自动化学报（英文版）

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ISSN：2329-9266

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