Case study project for Automated Driving
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Updated
Jun 28, 2021 - Python
Case study project for Automated Driving
Scratchpad for trying out new things I learn, learning new packages, and practicing writing code for robots.
Implementing Neural Networks and Model Predictive Control to control energy settings in a housing unit.
[CDC'22] Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty
motorcycle control by model predictive control
Automated Driving block week project
Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforcement Learning (RL). This GitHub repository houses the codebase for optimizing renewable energy systems, promoting sustainable practices and smart energy utilization. MSc Mechanical Eng Thesis // Pier Luca Anania
Model-based reinforcement learning using CEM, MPC and PETS
PyLESA: A Python modelling tool for planning-level Local, integrated, and smart Energy Systems Analysis. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000443
Select the most appropriate model out of a library of models by assessing the performance of the models online
Part of my thesis. My ROS2 workspace for simulations.
Code from internship activities at Systems Optimization Group at UFSC
Sketches of model-based control ideas for gym classic control
Code Archive of bachelor's thesis
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
Model predictive control to balance Upkie wheeled bipeds
For the consolidation of my personal model predictive control (MPC) library. Example cases also given.
Physical simulation of experimental techniques for quadrupedial motion
This project was developed for the final examination of the course Optimal Control for the Master's degree in Automation Engineering at the University of Bologna.
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
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