AIMC Topic: Feedback

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Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2019
This paper proposes a unified theoretical framework to study the problem of finite/fixed-time drive-response anti-synchronization for a class of Markovian stochastic neural networks. State feedback switching controllers without the sign function are ...
Markov Chains Stochastic Processes Time Factors Reaction Time Neural Networks, Computer Algorithms Feedback
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Mean-field models in swarm robotics: a survey.

Bioinspiration & biomimetics Nov 6, 2019
We present a survey on the application of fluid approximations, in the form of mean-field models, to the design of control strategies in swarm robotics. Mean-field models that consist of ordinary differential equations, partial differential equations...
Robotics Stochastic Processes Feedback Models, Theoretical
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Noise-boosted bidirectional backpropagation and adversarial learning.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2019
Bidirectional backpropagation trains a neural network with backpropagation in both the backward and forward directions using the same synaptic weights. Special injected noise can then improve the algorithm's training time and accuracy because backpro...
Neural Networks, Computer Feedback Probability
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A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 1, 2019
This paper addresses the global stabilization of complex-valued neural networks (CVNNs) via event-triggered control. First, a waiting-time-based event-triggered scheme is designed to reduce the data transmission rate. Therein, an exponential decay te...
Time Factors Neural Networks, Computer Feedback
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Barrier Function-Based Adaptive Control for Uncertain Strict-Feedback Systems Within Predefined Neural Network Approximation Sets.

IEEE transactions on neural networks and learning systems Sep 4, 2019
In this article, a globally stable adaptive control strategy for uncertain strict-feedback systems is proposed within predefined neural network (NN) approximation sets, despite the presence of unknown system nonlinearities. In contrast to the convent...
Neural Networks, Computer Feedback Nonlinear Dynamics Uncertainty
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An Integrated Sensor-Model Approach for Haptic Feedback of Flexible Endoscopic Robots.

Annals of biomedical engineering Sep 4, 2019
Haptic feedback for flexible endoscopic surgical robots is challenging due to space constraints for sensors and shape-dependent force hysteresis of tendon-sheath mechanisms (TSMs). This paper proposes (1) a single-axis fiber Bragg grating (FBG)-based...
Animals Colon Endoscopy Feedback Swine Robotics
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Periodicity and finite-time periodic synchronization of discontinuous complex-valued neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2019
This paper discusses the issue of periodicity and finite-time periodic synchronization of discontinuous complex-valued neural networks (CVNNs). Based on a modified version of Kakutani's fixed point theorem, general conditions are obtained to guarante...
Neurons Periodicity Neural Networks, Computer Time Factors Algorithms Feedback
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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.

International journal of computer assisted radiology and surgery Jul 30, 2019
PURPOSE: Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the number of surgical procedures increasing annually, there is an unpreceden...
Neural Networks, Computer Robotic Surgical Procedures Surgeons Machine Learning Motion Feedback Clinical Competence Models, Statistical Markov Chains Humans Cluster Analysis Biomechanical Phenomena General Surgery Regression Analysis
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Combining evolution and self-organization to find natural Boolean representations in unconventional computational media.

Bio Systems Jul 29, 2019
Designing novel unconventional computing systems often requires the selection of the computational structure as well as choosing the right symbol encoding. Several approaches apply heuristic search and evolutionary algorithms to find both computation...
Biological Evolution Feedback Neural Networks, Computer Algorithms Models, Theoretical Computational Biology Logic Computer Simulation
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Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.

IEEE transactions on cybernetics Jul 18, 2019
This paper proposes a novel event-triggered (ET) adaptive neural control scheme for a class of discrete-time nonlinear systems in a strict-feedback form. In the proposed scheme, the ideal control input is derived in a recursive design process, which ...
Nonlinear Dynamics Feedback Neural Networks, Computer Signal Processing, Computer-Assisted Computer Simulation
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