AIMC Topic: Feedback

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Data-Driven H Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article develops two novel output feedback (OPFB) Q -learning algorithms, on-policy Q -learning and off-policy Q -learning, to solve H static OPFB control problem of linear discrete-time (DT) systems. The primary contribution of the proposed alg...
Nonlinear Dynamics Feedback Neural Networks, Computer Computer Simulation Algorithms
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Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article investigates the local stability and local convergence of a class of neural network (NN) controllers with error integrals as inputs for reference tracking. It is formally proved that if the input of the NN controller consists exclusively...
Neural Networks, Computer Feedback Nonlinear Dynamics Computer Simulation Algorithms
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Safe control of logical control networks with random impulses.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2023
Under the framework of a hybrid-index model, this paper investigates safe control problems of state-dependent random impulsive logical control networks (RILCNs) on both finite and infinite horizons, respectively. By using the ΞΎ-domain method and the ...
Neural Networks, Computer Logic Feedback Time Factors Algorithms
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Robust Stabilization of Linear Time-Delay Systems under Denial-of-Service Attacks.

Sensors (Basel, Switzerland) Jun 21, 2023
This research examines new methods for stabilizing linear time-delay systems that are subject to denial-of-service (DoS) attacks. The study takes into account the different effects that a DoS attack can have on the system, specifically delay-independ...
Time Feedback Computer Simulation Neural Networks, Computer
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Nonfragile Output Feedback Tracking Control for Markov Jump Fuzzy Systems Based on Integral Reinforcement Learning Scheme.

IEEE transactions on cybernetics Jun 15, 2023
In this article, a novel integral reinforcement learning (RL)-based nonfragile output feedback tracking control algorithm is proposed for uncertain Markov jump nonlinear systems presented by the Takagi-Sugeno fuzzy model. The problem of nonfragile co...
Algorithms Nonlinear Dynamics Fuzzy Logic Feedback
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Comparing end-effector position and joint angle feedback for online robotic limb tracking.

PloS one Jun 8, 2023
Somatosensation greatly increases the ability to control our natural body. This suggests that supplementing vision with haptic sensory feedback would also be helpful when a user aims at controlling a robotic arm proficiently. However, whether the pos...
Movement Humans Feedback Robotics Feedback, Sensory Extremities
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A Modular 3-Degrees-of-Freedom Force Sensor for Robot-Assisted Minimally Invasive Surgery Research.

Sensors (Basel, Switzerland) May 31, 2023
Effective force modulation during tissue manipulation is important for ensuring safe, robot-assisted, minimally invasive surgery (RMIS). Strict requirements for in vivo applications have led to prior sensor designs that trade off ease of manufacture ...
Robotic Surgical Procedures Equipment Design Mechanical Phenomena Robotics Minimally Invasive Surgical Procedures Feedback
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A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy.

International journal of computer assisted radiology and surgery May 12, 2023
PURPOSE: Robotic assistance in otologic surgery can reduce the task load of operating surgeons during the removal of bone around the critical structures in the lateral skull base. However, safe deployment into the anatomical passageways necessitates ...
Humans Mastoidectomy Robotics Surgery, Computer-Assisted Robotic Surgical Procedures Feedback
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FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications.

IEEE transactions on biomedical circuits and systems May 10, 2023
Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for monitoring neural activity on a large scale at a specific brain region of rats or mice. Most existing calcium-image analysis pipelines operate offlin...
Brain Feedback Neural Networks, Computer Rats Mice Calcium Animals
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Atomically thin optomemristive feedback neurons.

Nature nanotechnology May 4, 2023
Cognitive functions such as learning in mammalian brains have been attributed to the presence of neuronal circuits with feed-forward and feedback topologies. Such networks have interactions within and between neurons that provide excitory and inhibit...
Mammals Neurons Feedback Animals Machine Learning Brain Neural Networks, Computer
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