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文章基本信息

  • 标题:ANN-based Control of a Wheeled Inverted Pendulum System Using an Extended DBD Learning Algorithm
  • 本地全文:下载
  • 作者:David Cruz ; Salatiel García and Manuel Bandala
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2016
  • 卷号:13
  • DOI:10.5772/63485
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This paper presents a dynamic model for a self-balancing vehicle using the Euler-Lagrange approach. The design and deployment of an artificial neuronal network (ANN) in a closed-loop control is described. The ANN is characterized by integration of the extended delta-bar-delta algorithm (DBD), which accelerates the adjustment of synaptic weights. The results of the control strategy in the dynamic model of the robot are also presented.
  • 关键词:Self-balancing Robot; Extended Delta-bar-delta Algorithm; Artificial Neuronal Network; Euler-Lagrange
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