Abstract: Model predictive control (MPC) is a powerful strategy for tackling multiobjective control challenges, but it often involves a laborious process of tuning weighting factors. This article ...

This repository contains the code (simulation and real-world experiments with minimum setup) for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style ...

Abstract: This article proposes an offset-free, output feedback, tracking model predictive control (MPC) stabilizing formulation, specifically designed to handle incrementally input-to-state stable ($ ...

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 ...

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