Abstract: This paper presents a hierarchical model predictive control (HMPC)–based energy management system (EMS) for a DC microgrid integrating photovoltaic (PV) generation, wind energy conversion, ...
A fully modular, hardware-agnostic Model Predictive Control (MPC) simulation framework for Unmanned Aerial Vehicles (UAVs). This repository contains both a robust Python/CVXPY implementation and a ...
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 ...
Abstract: In this paper, a novel solution for addressing the control allocation problem for over-actuated autonomous aircraft is presented. Inparticular, a detailed High Altitude Performance ...
What neural activity in motor cortex represents and how it controls ongoing movement remain unclear. Suggestions that cortex generates low-level muscle control are discredited by correlations with ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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