In this paper, an adaptive inverse compensation output feedback control scheme is designed for the dielectric elastomer actuator (DEA) motion control system. First, the controller adopts the radial ...

This letter concentrates on introducing a learning methodology that extends and improves classical finite control-set model predictive control approach, which is able to significantly mitigate the ...

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This project implements a Q-learning agent with experience replay and a neural network function approximator to solve the LunarLander-v2 environment.

In this research work authors have experimentally validated a blend of Machine Learning and Nonlinear Model Predictive Control (NMPC) framework designed to track the temperature profile in a Batch ...