ArticleFrontiers in neurorobotics2022
Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator.
Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Mamba-YOLO-SRC: An Automatic Deep Learning Framework for Respiratory Behavior Detection in the Chinese Giant Salamander.Animals : an open access journal from MDPI · 2026Article
- Research on Polyp Segmentation via Dynamic Multi-Scale Feature Fusion and Global-Local Semantic Enhancement.Sensors (Basel, Switzerland) · 2025Article
- Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications.Biomimetics (Basel, Switzerland) · 2025Review
- Research on three-stage hybrid optimization control of the three-level half-bridge LLC resonant converter.Scientific reports · 2025Article
- A distributed penalty-based zeroing neural network for time-varying optimization with both equality and inequality constraints and its application to cooperative control of redundant robot manipulators.Frontiers in neurorobotics · 2025Article
- Construction of multi-robot platform based on dobot robots.Frontiers in neurorobotics · 2025Article
- Noise-immune zeroing neural dynamics for dynamic signal source localization system and robotic applications in the presence of noise.Frontiers in neurorobotics · 2025Article
- A Survey on Biomimetic and Intelligent Algorithms with Applications.Biomimetics (Basel, Switzerland) · 2024Article
- Two Acceleration-Layer Configuration Amendment Schemes of Redundant Robot Arms Based on Zhang Neurodynamics Equivalency.Biomimetics (Basel, Switzerland) · 2024Article
- Recurrent neural network for trajectory tracking control of manipulator with unknown mass matrix.Frontiers in neurorobotics · 2024Article
- Online learning fuzzy echo state network with applications on redundant manipulators.Frontiers in neurorobotics · 2024Article
- Advances on intelligent algorithms for scientific computing: an overview.Frontiers in neurorobotics · 2023Review
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5 authors.
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Abstract
As we know, harmonic noises widely exist in industrial fields and have a crucial impact on the computational accuracy of the zeroing neural network (ZNN) model. For tackling this issue, by combining the dynamics of harmonic signals, two harmonic noise-tolerant ZNN (HNTZNN) models are designed for the dynamic matrix pseudoinversion. In the design of HNTZNN models, an adaptive compensation term is adopted to eliminate the influence of harmonic noises, and a Li activation function is introduced to further improve the convergence rate. The convergence and robustness to harmonic noises of the proposed HNTZNN models are proved through theoretical analyses. Besides, compared with the ZNN model without adaptive compensation term, the HNTZNN models are more effective for tacking the problem of dynamic matrix pseudoinverse under harmonic noises environments. Moreover, HNTZNN models are further applied to the kinematic control of a four-link planar robot manipulator under harmonic noises. In general, the experimental results verify the effectiveness, superiority, and broad application prospect of the models.
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