Python code for advanced control within Homeassistant
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Updated
Jun 11, 2024 - Python
Python code for advanced control within Homeassistant
This repo contains all the codes of my control systems simulations
My work for my Bachelor thesis on the properties of the Relaxed Recentered Log-Barrier functions based MPC (RRLB MPC)
Trajectory control of a nonholonomic robot(FB5) using python , mpc and Rpi
Whole Body Model Predictive Control in the AGIMUS architecture
In this project mpc is applied to drone for solving trajectory tracking problem of the drone.
This is some projects related to path planning and control
Focused on a project related to LMPC (Learning Model Predictive Control) sampled data control and H2 optimal control.
Fast graphical Rofi-Interface for contolling MPD. Optimized for tiling window managers.
This is for SSY226-Modeling and Simulation of Collaborative Highway-merging Vehicles
Predictive control of aerial swarms in cluttered environments
Use naive and learning model predictive control algorithm to control a pendulum.
This project consist in the design and implementation of an optimal control law for a vehicle described by simple bicycle model. We have used the LQR (Linear Quadratic Regulator) and the MPC (Model Predictive Control) techinques.
Flappy bird clone controlled by Mixed Integer MPC algorithm.
Model Predictive Control (MPC) for kinematic bicycle model
Github mirror of https://gitlab.kuleuven.be/meco-software/impact
MPC, iLQR, Stanley, Pure Pursuit Controllers in AWSIM using ROS2
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
ROS Pipeline Implementing all the necessary modules for Autonomous Robot. Tested on Loomo Segway Robot.
This the repo for master thesis--SMPC in heavy traffic scenario
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