您当前的位置：
首页 >
文章列表页 >
Semiparametric dynamic model identification for hyper-redundant manipulator based on iterative optimization and neural network compensation
Micro\/Nano Technology and Fine Mechanics | 更新时间：2026-09-11

    • Semiparametric dynamic model identification for hyper-redundant manipulator based on iterative optimization and neural network compensation

    • Optics and Precision Engineering   Vol. 32, Issue 2, Pages: 193-207(2024)

    • DOI：10.37188/OPE.20243202.0193    

      CLC： TP394.1;TH691.9

    • Received：02 June 2023，

      Revised：2023-07-24，

      Published：25 January 2024

    移动端阅览

  • ZHOU Yufei,LI Zhongcan,LI Yi,et al.Semiparametric dynamic model identification for hyper-redundant manipulator based on iterative optimization and neural network compensation[J].Optics and Precision Engineering,2024,32(02):193-207.

  •  
  •  

0

Views

2315

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Polarization parameter partition optimization restoration method for underwater degraded image
Carbon fiber thin-walled cylindrical support structure between primary and secondary mirror in space camera
Self-calibration of workspace measurement and positioning system by using inter-scanning
Carbon fiber thin-walled cylindrical support structure between primary and secondary mirror in space camera
Inverse design of efficient achromatic metalens based on channel attention enhanced network

Related Author

CAO Haotian
XU Yunhe
ZHANG Shenghui
CAI Changye
LI Ronghua
Xunpeng SONG
Yunfei YANG
Jian YUAN

Related Institution

College of Mechanical Engineering， Dalian Jiaotong University
Dalian Advanced Robot Perception and Control Technology Innovation Center
Chang Guang Satellite Technology Co.Ltd
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University
College of Aeronautical Automation, Civil Aviation University of China
0