AIMC Topic: Feedback

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Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2017
This paper is devoted to studying the fixed-time synchronization of memristor-based BAM neural networks (MBAMNNs) with discrete delay. Fixed-time synchronization means that synchronization can be achieved in a fixed time for any initial values of the...
Algorithms Feedback Time Factors Neural Networks, Computer
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Effect of feedback from a socially interactive humanoid robot on reaching kinematics in children with and without cerebral palsy: A pilot study.

Developmental neurorehabilitation Aug 17, 2017
PURPOSE: To examine whether children with or without cerebral palsy (CP) would follow a humanoid robot's (i.e., Darwin) feedback to move their arm faster when playing virtual reality (VR) games.
Feedback Biomechanical Phenomena Humans Female Child Treatment Outcome Robotics Male Pilot Projects Movement Psychomotor Performance Cerebral Palsy
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Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning.

Computational intelligence and neuroscience Aug 14, 2017
We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically captur...
Machine Learning Feedback Reward Translations Reinforcement, Psychology
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Tegotae-based decentralised control scheme for autonomous gait transition of snake-like robots.

Bioinspiration & biomimetics Aug 4, 2017
Snakes change their locomotion patterns in response to the environment. This ability is a motivation for developing snake-like robots with highly adaptive functionality. In this study, a decentralised control scheme of snake-like robots that exhibite...
Animals Ecosystem Equipment Design Gait Feedback, Physiological Robotics Snakes Feedback Musculoskeletal System Musculoskeletal Physiological Phenomena Biomimetic Materials Locomotion
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Iterative Learning Impedance for Lower Limb Rehabilitation Robot.

Journal of healthcare engineering Aug 1, 2017
This paper discusses the problem of squatting training of stroke patients. The main idea is to correct the patient's training trajectory through an iterative learning control (ILC) method. To obtain better rehabilitation effect, a patient will typica...
Robotics Computer Simulation Young Adult Male Learning Equipment Design Lower Extremity Feedback Humans Persons with Disabilities Reference Standards Biomechanical Phenomena Posture Algorithms Stroke Rehabilitation
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Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints.

IEEE transactions on cybernetics Jul 27, 2017
The control problem of an uncertain n -degrees of freedom robotic manipulator subjected to time-varying output constraints is investigated in this paper. We describe the rigid robotic manipulator system as a multi-input and multi-output nonlinear sys...
Nonlinear Dynamics Feedback Robotics Neural Networks, Computer Computer Simulation Humans
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Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays.

Neural networks : the official journal of the International Neural Network Society Jul 10, 2017
This paper is concerned with the global Mittag-Leffler synchronization and the synchronization in finite time for fractional-order neural networks (FNNs) with discontinuous activations and time delays. Firstly, the properties with respect to Mittag-L...
Feedback Time Neural Networks, Computer
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Stability and synchronization of fractional-order memristive neural networks with multiple delays.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2017
The paper presents theoretical results on the global asymptotic stability and synchronization of a class of fractional-order memristor-based neural networks (FMNN) with multiple delays. First, the asymptotic stability of fractional-order (FO) linear ...
Machine Learning Feedback Neural Networks, Computer
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Feed-forward control for magnetic shape memory alloy actuators based on the radial basis function neural network model.

Journal of applied biomaterials & functional materials Jun 16, 2017
Hysteresis exists in magnetic shape memory alloy (MSMA) actuators, which restricts MSMA actuators' application. To describe hysteresis of the MSMA actuators, a hysteresis model based on the radial basis function neural network (RBFNN) is put forward....
Alloys Feedback Transducers Magnetics Neural Networks, Computer Algorithms
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Multi-Axis Force Sensor for Human-Robot Interaction Sensing in a Rehabilitation Robotic Device.

Sensors (Basel, Switzerland) Jun 5, 2017
Human-robot interaction sensing is a compulsory feature in modern robotic systems where direct contact or close collaboration is desired. Rehabilitation and assistive robotics are fields where interaction forces are required for both safety and incre...
Robotics Equipment Design Exoskeleton Device Rehabilitation Gait Humans Feedback
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