IEEE

Information theoretic MPC for model-based reinforcement learning

Abstract: We introduce an information theoretic model predictive control (MPC) algorithm capable of handling complex cost criteria and general nonlinear dynamics. The generality of the approach makes ...
GitHub

Reinforcement Learning with Model Predictive Control

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 ...
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 ...
IEEE

A Self-Triggered MPC Strategy With Adaptive Prediction Horizon for Series Hybrid Electric Powertrains

Abstract: Automotive electrification is a major trend for environmentally friendly transportation. Hybrid electric vehicles are also gaining popularity as a key transitional technology. Coordination ...
C&EN

Magnetism of Single Vacancies in Rippled Graphene

† Centro de Física de Materiales CFM-MPC, Centro Mixto CSIC-UPV/EHU, Paseo Manuel de Lardizabal 5, 20080 San Sebastián, Spain ‡ Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal ...