Robotics in health care: Perspectives of robot-aided interventions in clinical practice for rehabilitation of upper limbs
Robot-aided systems to support the physical rehabilitation of individuals with neurological
impairment is one of the fields that has been widely developed in the last few decades …
impairment is one of the fields that has been widely developed in the last few decades …
Optimal fractional-order PID controller based on fractional-order actor-critic algorithm
R Shalaby, M El-Hossainy, B Abo-Zalam… - Neural Computing and …, 2023 - Springer
In this paper, an online optimization approach of a fractional-order PID controller based on a
fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID …
fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID …
The combined effects of adaptive control and virtual reality on robot-assisted fine hand motion rehabilitation in chronic stroke patients: a case study
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of
highly repetitive training that is needed to trigger neuroplasticity following a stroke. However …
highly repetitive training that is needed to trigger neuroplasticity following a stroke. However …
Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network
This paper proposes a novel structure of a recurrent interval type-2 TSK fuzzy neural
network (RIT2-TSK-FNN) controller based on a reinforcement learning scheme for improving …
network (RIT2-TSK-FNN) controller based on a reinforcement learning scheme for improving …
Effectiveness of Intelligent Control Strategies in Robot-Assisted Rehabilitation–A Systematic Review
D Brown, SQ Xie - IEEE Transactions on Neural Systems and …, 2024 - ieeexplore.ieee.org
This review aims to provide a systematic analysis of the literature focused on the use of
intelligent control systems in robotics for physical rehabilitation, identifying trends in recent …
intelligent control systems in robotics for physical rehabilitation, identifying trends in recent …
A reinforcement learning neural network for robotic manipulator control
Y Hu, B Si - Neural computation, 2018 - ieeexplore.ieee.org
We propose a neural network model for reinforcement learning to control a robotic
manipulator with unknown parameters and dead zones. The model is composed of three …
manipulator with unknown parameters and dead zones. The model is composed of three …
A novel structure of actor-critic learning based on an interval type-2 TSK fuzzy neural network
In this article, a novel structure of actor-critic learning based on an interval type-2 Takagi-
Sugeno-Kang fuzzy neural network (AC-IT2-TSK-FNN) is proposed. The proposed structure …
Sugeno-Kang fuzzy neural network (AC-IT2-TSK-FNN) is proposed. The proposed structure …
Clinical effectiveness of combined virtual reality and robot assisted fine hand motion rehabilitation in subacute stroke patients
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of
highly repetitive rehabilitation training in restoring motor skills after a stroke. This study …
highly repetitive rehabilitation training in restoring motor skills after a stroke. This study …
Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems
In this study, an adaptive interval type-2 Takagi-Sugeno-Kang fuzzy logic controller based
on reinforcement learning (AIT2-TSK-FLC-RL) is proposed. The proposed controller consists …
on reinforcement learning (AIT2-TSK-FLC-RL) is proposed. The proposed controller consists …
Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability
In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy controller based on reinforcement
learning for controlling the nonlinear dynamical systems is proposed. The parameters of the …
learning for controlling the nonlinear dynamical systems is proposed. The parameters of the …