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 ...
IEEE

A Data-Driven Approach to Spacecraft Attitude Control Using Support Vector Regression (SVR)

Abstract: This study introduces a novel approach to spacecraft attitude control by employing Support Vector Regression (SVR) as the underlying data-driven controller. Given the inherent nonlinearity ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...