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Recurrent neural network enabled continuous motion estimation of lower limb joints from incomplete sEMG signals.[J]IEEE Transactions on Neural Systems and Rehabilitation Engineering,2024,32:3577-3589
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Generalized zeroing neural dynamics model for online solving time-varying cube roots problem with various external disturbances in different domains.[J]Information Sciences,2023,623:648-670
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sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton.[J]Biomedical Signal Processing and Control,2024,94:106347
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Noise-suppressing zeroing neural network for online solving time-varying matrix square roots problems: A control-theoretic approach.[J]Expert Systems with Applications,2022,192:116272
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Different discrete-time noise-suppression Z-type models for online solving time-varying and time-invariant cube roots in real and complex domains: Application to fractals.[J]Neurocomputing,2024,500:471-485
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A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals.[J]Frontiers in Neurorobotics,2022,16:1047325
