This repository implements data-driven DC motor modeling using a Multi-Layer Perceptron (MLP) neural network. Instead of relying on analytical motor equations, the motor dynamics are learned directly ...
This project models the stochastic motion of motor proteins, such as myosin, as they move along structures in the cell, like myofilaments. These proteins convert chemical energy from ATP into ...
Abstract: The AGV's are beginning to change the way of the industries, there are still rooms for development of those AGV's. The hybrid AGV's which can climb walls and move on land for various ...
Abstract: Modeling of complex electromechanical systems can be simplified by dividing the mechanical part of the system into basic physical effects. These basic physical effects have been used for ...
Scientists have developed an AI-driven approach that significantly advances our understanding of the hand's complex motor functions. The team used a creative machine learning strategy that combined ...
The motor symptoms of Parkinson's disease (PD) implicate the basal ganglia (BG) in some aspect of motor control, although the role the BG play in regulation of motor behavior is not completely ...
ABSTRACT: The electromagnetic torque and speed in Switched Reluctance Motor (SRM) greatly depend on the excitation parametersi.e.turn-on angle, turn-off angle, dwell angle and magnitude of the phase ...
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