AIMC Topic: Feedback

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Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2017
This paper presents a novel adaptive dynamic programming(ADP)-based self-learning robust optimal control scheme for input-affine continuous-time nonlinear systems with mismatched disturbances. First, the stabilizing feedback controller for original n...
Neural Networks, Computer Learning Machine Learning Feedback Computer Simulation Nonlinear Dynamics
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Nonlinear Tracking Control of a Conductive Supercoiled Polymer Actuator.

Soft robotics Nov 30, 2017
Artificial muscle actuators made from commercial nylon fishing lines have been recently introduced and shown as a new type of actuator with high performance. However, the actuators also exhibit significant nonlinearities, which make them difficult to...
Nonlinear Dynamics Electric Conductivity Feedback Equipment Design Polymers Robotics
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Influence of facial feedback during a cooperative human-robot task in schizophrenia.

Scientific reports Nov 3, 2017
Rapid progress in the area of humanoid robots offers tremendous possibilities for investigating and improving social competences in people with social deficits, but remains yet unexplored in schizophrenia. In this study, we examined the influence of ...
Schizophrenic Psychology Social Perception Schizophrenia Social Behavior Adult Feedback Middle Aged Robotics Male Humans Female Young Adult
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Neural Networks, Computer Feedback Models, Neurological Noise Neuronal Plasticity Neurons Stochastic Processes Synapses Electrophysiological Phenomena Long-Term Potentiation
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Compensation for Magnetic Disturbances in Motion Estimation to Provide Feedback to Wearable Robotic Systems.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 6, 2017
The direction of the Earth's magnetic field is used as a reference vector to determine the heading in orientation estimation with wearable sensors. However, the magnetic field strength is weak and can be easily disturbed in the vicinity of ferromagne...
Motion Sensation Magnetic Fields Wearable Electronic Devices Robotics Magnetics Humans Algorithms Feedback Biomechanical Phenomena Reproducibility of Results
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Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.

PLoS computational biology Sep 29, 2017
Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of s...
Computational Biology Neuronal Plasticity Action Potentials Appetitive Behavior Models, Neurological Algorithms Feedback Animals Neural Networks, Computer Machine Learning Humans
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Composite learning from adaptive backstepping neural network control.

Neural networks : the official journal of the International Neural Network Society Sep 22, 2017
In existing neural network (NN) learning control methods, the trajectory of NN inputs must be recurrent to satisfy a stringent condition termed persistent excitation (PE) so that NN parameter convergence is obtainable. This paper focuses on command-f...
Feedback Nonlinear Dynamics Uncertainty Neural Networks, Computer Machine Learning
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Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for no...
Feedback Nonlinear Dynamics Uncertainty Algorithms Computer Simulation Neural Networks, Computer Machine Learning
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Some new results on stability and synchronization for delayed inertial neural networks based on non-reduced order method.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2017
In this paper, without transforming the second order inertial neural networks into the first order differential systems by some variable substitutions, asymptotic stability and synchronization for a class of delayed inertial neural networks are inves...
Feedback Time Factors Neural Networks, Computer Algorithms
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Finite time synchronization of memristor-based Cohen-Grossberg neural networks with mixed delays.

PloS one Sep 20, 2017
Finite time synchronization, which means synchronization can be achieved in a settling time, is desirable in some practical applications. However, most of the published results on finite time synchronization don't include delays or only include discr...
Feedback Time Factors Algorithms Humans Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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