IEEE

Optimization of Model Predictive Control for Autonomous Vehicles Through Learning-Based Weight Adjustment

Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...
IEEE

Deep Model Predictive Control With Stability Guarantees

Abstract: This article presents a deep learning-based model predictive control (MPC) algorithm for control affine nonlinear discrete-time systems with matched and bounded state-dependent uncertainties ...
GitHub

DL-MPC: A toolbox for deep learning-based nonlinear model predictive control

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...
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 ...