IEEE

Continuous-Control-Set Model-Free Predictive Control Using Time-Series Subspace for PMSM Drives

Abstract: Recently, data analysis is used in model-free predictive control to mitigate the effects of parameter mismatches in parametric models. However, the finite-control-set (FCS) type cannot fully ...
GitHub

Autonomous 3D positional control of a magnetic microrobot using reinforcement learning

For reproducibility in physical environment, as the code is directly linked to imaging system and Electromagnetic actuation system, it is not possible to run it as it is. However for simulation ...
IEEE

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...