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A reinforcement learning-based near-optimal hierarchical approach for motion control: Design and experiment.
Qin, Zhi-Chang; Zhu, Hai-Tao; Wang, Shou-Jun; Xin, Ying; Sun, Jian-Qiao.
Afiliação
  • Qin ZC; Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China; National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Tech
  • Zhu HT; State Key Laboratory of Hydraulic Engineering Simulation and Safety (Tianjin University), Tianjin, 300072, China.
  • Wang SJ; Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China; National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Tech
  • Xin Y; Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China; National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Tech
  • Sun JQ; School of Engineering, University of California, Merced, CA 95343, USA.
ISA Trans ; 129(Pt B): 673-683, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35279310
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article