Hierarchical classification of subject-cooperative control strategies for lower limb exoskeletons in gait rehabilitation: A systematic review
Over the last decade, lower limb exoskeletons have seen significant development, with a
particular focus on improving the interaction between the subject and the exoskeleton. This …
particular focus on improving the interaction between the subject and the exoskeleton. This …
Human-in-the-loop control of soft exosuits using impedance learning on different terrains
Many previous works of soft wearable exoskeletons (exosuit) target at improving the human
locomotion assistance, without considering the impedance adaption to interact with the …
locomotion assistance, without considering the impedance adaption to interact with the …
Review of adaptive control for stroke lower limb exoskeleton rehabilitation robot based on motion intention recognition
D Su, Z Hu, J Wu, P Shang, Z Luo - Frontiers in Neurorobotics, 2023 - frontiersin.org
Stroke is a significant cause of disability worldwide, and stroke survivors often experience
severe motor impairments. Lower limb rehabilitation exoskeleton robots provide support and …
severe motor impairments. Lower limb rehabilitation exoskeleton robots provide support and …
RBF neural network-based supervisor control for maglev vehicles on an elastic track with network time delay
Y Sun, J Xu, G Lin, W Ji, L Wang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
When the electromagnetic suspension (EMS) type maglev vehicle is traveling over a track,
the airgap must be maintained between the electromagnet and the track to prevent contact …
the airgap must be maintained between the electromagnet and the track to prevent contact …
Active human-following control of an exoskeleton robot with body weight support
This article presents an active human-following control of the lower limb exoskeleton for gait
training. First, to improve safety, considering the human balance, the OpenPose-based …
training. First, to improve safety, considering the human balance, the OpenPose-based …
Fixed-time adaptive neural network control for nonlinear systems with input saturation
This study concentrates on the tracking control problem for nonlinear systems subject to
actuator saturation. To improve the performance of the controller, we propose a fixed-time …
actuator saturation. To improve the performance of the controller, we propose a fixed-time …
Adaptive fuzzy event-triggered control for high-order nonlinear systems with prescribed performance
[Retracted] Robust LQR‐Based Neural‐Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances
The design of an accurate control scheme for a lower limb exoskeleton system has few
challenges due to the uncertain dynamics and the unintended subject's reflexes during gait …
challenges due to the uncertain dynamics and the unintended subject's reflexes during gait …