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- W3121330370 abstract "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." @default.
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- W3121330370 date "2022-04-01" @default.
- W3121330370 modified "2023-10-06" @default.
- W3121330370 title "Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics" @default.
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- W3121330370 doi "https://doi.org/10.1109/tsmc.2021.3049386" @default.
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