Abstract: Inverse optimal control (IOC) seeks to infer a control cost function that captures the underlying goals and preferences of expert demonstrations. While significant progress has been made in ...
MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...
Abstract: Model-predictive control (MPC) has emerged as a promising control method in power electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) applications ...
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 ...