Generalized zeroing neural dynamics model for online solving time-varying cube roots problem with various external disturbances in different domains

Wang, Gang; Liu, Yongbai; Sun, Yingyi; Yu, Junzhi; Sun, Zhongbo

doi:10.1016/j.ins.2022.12.058

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Cited by 3 publications

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sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton

Wang,

Liu,

Liu

et al. 2024

Biomedical Signal Processing and Control

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sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton

Wang,

Liu,

Liu

et al. 2024

Biomedical Signal Processing and Control

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DBAD: Dual branch reconstruction for industrial anomaly detection

Cai,

Liu

2024

Electronics Letters

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Reconstruction‐based methods are commonly used in industrial visual anomaly detection. They rely on a well‐reconstructed normal mode of the model. However, it is difficult to manage the boundary of generalization. The strength of the model's generalization capability can directly affect the fidelity of the reconstruction, resulting in the occurrence of false positives. To address the above challenges, a novel dual branch reconstruction anomaly detection approach is proposed to control the model generalization capability at two dimensions. It reconstructs abnormal images into normal ones by resolution recovery and denoising branches. Detection results are generated from their comparison. In addition, an innovative channel adjustment module is introduced to improve information exchange between branches. It uses multiple dilated convolutions for interactions over different scales. Simulation experiments demonstrate that the method outperforms most inspection methods on the MVTec AD and MVTec 3D‐AD datasets. It also shows good results on the self‐generated automotive paint scratches dataset of this study.

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Human-Robot Interaction Control Based on the RBF Neural Network for Upper Limb Rehabilitation Robot

Tian,

Liu,

Liu

et al. 2023

2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)

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Generalized zeroing neural dynamics model for online solving time-varying cube roots problem with various external disturbances in different domains

Cited by 3 publications

References 38 publications

sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton

sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton

DBAD: Dual branch reconstruction for industrial anomaly detection

Human-Robot Interaction Control Based on the RBF Neural Network for Upper Limb Rehabilitation Robot

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