KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms | |
Jin, Long1,2; Li, Shuai2; Luo, Xin3 ; Shang, Ming-Sheng3
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| 2017 | |
| 摘要 | This paper investigates the distributed motion planning of multiple robot arms with limited communications in the presence of noises. To do this, a nonlinearly-activated noise-tolerant zeroing neural network (NANTZNN) is designed and presented for the first time for solving the presented distributed scheme online. Theoretical analyses and simulation results show the effectiveness and accuracy of the presented distributed scheme with the aid of NANTZNN model. © 2017 IEEE. |
| 语种 | 英语 |
| DOI | 10.1109/IJCNN.2017.7966382 |
| 会议(录)名称 | 2017 International Joint Conference on Neural Networks, IJCNN 2017
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| 页码 | 4165-4170 |
| 收录类别 | EI |
| 会议地点 | Anchorage, AK, United states |
| 会议日期 | May 14, 2017 - May 19, 2017 |
