Jul 22, 2021 · The paper proposes a kind of proportional-derivative(PD) controller of LLER based on sliding mode RBF neural network(SMRBF-nn).
PD Controller of a Lower Limb Exoskeleton Robot Based on Sliding Mode RBF Neural Network. https://doi.org/10.1007/978-3-030-82562-1_40.
Oct 22, 2024 · Rehabilitation exoskeleton is a wearable robot for recovery training of stroke patients. It is a complex human-robot interaction system with ...
A new adaptive sliding mode control method based on the RBF neural networks (SMC–RBF) is proposed to improve the performances of a robotic excavator.
Missing: PD | Show results with:PD
Jul 14, 2023 · The lower limb exoskeleton rehabilitation robot should perform gait planning based on the patient's motor intention and training status.
Aug 19, 2022 · In this study, a radial basis function (RBF) neural network is developed for controlling 7 degrees of freedom of the human lower extremity ...
In this paper, an adaptive position control method combining proportional-derivative (PD) control, RBF neural network-based sliding mode (SM) control, and ...
Aug 7, 2022 · Moreover, the sliding mode control in the system improves the response speed, tracking performance, and stability of the control system. The ...
This paper deals with the rehabilitation purposes using an active orthosis driven by an adaptive neural controller based on a radial basis function neural ...
Neural Network Robust Control Based on Computed Torque for Lower ...
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Apr 25, 2024 · The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial settings.