mpc-control

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

Simulation platform for autonomous vehicle motion planning and control

"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)

Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

mpc and wbc for mini cheetah in pybullet

iterative Linear Quadratic Regulator with constraints.

Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue

Autonomous Vehicle modelling using MATLAB and Simulink

Model Predictive Controller tested on Carla simulator on Race track with reference velocity.

This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied to and studied for linear/non-linear plants.

Pytorch implementation of Model Predictive Control with learned models

Python package for model predictive control (MPC) for EPASWMM5 models

Classic problems in chemical engineering solved with matlab

Learning Model Predictive Control (LMPC) for autonomous racing in CARLA 3D environment.

EagleMPC is a model predictive control & optimal control library for unmanned aerial manipulators (UAMs)

A code for implementing autonomous car software, including environment perception, lanes detection, identifying traffic signs, and controlling the vehicle with digital PID.

ROBUST MPC CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS

Graphical user interface for designing and simulating model predictive control using MATLAB and the Multi-Parametric Toolbox 3