KMS Chongqing Institute of Green and Intelligent Technology, CAS
Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics | |
Fu, Dongyang1,2,3; Huang, Haoen1,2,3; Wei, Lin4,5; Xiao, Xiuchun1,2,3; Jin, Long4,5; Liao, Shan6; Fan, Jialiang4,5; Xie, Zhengtai4,5 | |
2021-01-20 | |
摘要 | Currently, the Newton-Raphson iterative algorithm has been extensively employed in the fields of basic research and engineering. However, when noise components exist in a system, its performance is largely affected. To remedy shortcomings that the conventional computing methods have encountered in a noisy workspace, a novel modified Newton integration (MNI) algorithm is proposed in this article. In addition, the steady-state error of the proposed MNI algorithm is smaller than that of the Newton-Raphson algorithm under a noise-free or noisy workspace. To lay the foundations for the corresponding theoretical analyses, the proposed MNI algorithm is first converted into a homogeneous linear equation with a residual term. Then, the related theoretical analyses are carried out, which indicate that the MNI algorithm possesses noise-tolerance ability under various noisy environments. Finally, multiple computer simulations and physical experiments on robot control applications are performed to verify the feasibility and advantage of the proposed MNI algorithm. |
关键词 | Mathematical model Heuristic algorithms Oceans Noise measurement Iterative algorithms Education Technological innovation Dynamic system of linear equations modified Newton integration (MNI) algorithm noise tolerance steady-state error |
DOI | 10.1109/TSMC.2021.3049386 |
发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS |
ISSN | 2168-2216 |
页码 | 11 |
通讯作者 | Jin, Long(jinlongsysu@foxmail.com) |
收录类别 | SCI |
WOS记录号 | WOS:000732097300001 |
语种 | 英语 |