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Dynamic Neural Networks for Manipulability Opti-mization of Omnidirectional Mobile Redundant Manipulator Under Anti-Input Disturbance

Shijun Tang Zhongbo Sun Yunfeng Hu Hong Chen

自动化学报（英文版）2026，Vol.13Issue(6)：1409-1427,19.

自动化学报（英文版）2026，Vol.13Issue(6)：1409-1427,19.DOI:10.1109/JAS.2025.125963

Dynamic Neural Networks for Manipulability Opti-mization of Omnidirectional Mobile Redundant Manipulator Under Anti-Input Disturbance

Shijun Tang ¹Zhongbo Sun ²Yunfeng Hu ¹Hong Chen³

作者信息

1. College of Communication Engineering,Jilin University,Changchun 130025,China
2. Department of Control Engineering,Changchun University of Technology,Changchun 130012,China
3. Department of Control Science and Engineering,Tongji University,Shanghai 201804,China
折叠

摘要

关键词

Anti-input disturbance/manipulability optimization/omnidirectional mobile redundant manipulator(OMRM)/recursive neural network

Key words

Anti-input disturbance/manipulability optimization/omnidirectional mobile redundant manipulator(OMRM)/recursive neural network

引用本文复制引用

Shijun Tang,Zhongbo Sun,Yunfeng Hu,Hong Chen..Dynamic Neural Networks for Manipulability Opti-mization of Omnidirectional Mobile Redundant Manipulator Under Anti-Input Disturbance[J].自动化学报（英文版）,2026,13(6):1409-1427,19.

基金项目

The work was supported in part by the National Natural Science Foundation of China(62173048,62106023),the Key Science and Technology Projects of Jilin Province,China(20230508095RC),and the Changchun Science and Technology Project(21ZY41). （62173048,62106023）

自动化学报（英文版）

ISSN：2329-9266

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