hanhantuozi's Stars
PJLab-ADG/awesome-knowledge-driven-AD
A curated list of awesome knowledge-driven autonomous driving (continually updated)
dispectra/truck-trailer-kinematic-sim
Simulation for truck trailer optimized sigmoid path planning and path following control based on kinematic model
sharadcs/IMM-KF
Interacting multiple model Kalman Filter implementations and examples
ZhengCanlun/Kalman
buntonj/CLF-CBF-QP
Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.
BruceXiefromnpu/RMPCPy
Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
BruceXiefromnpu/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
zhm-real/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
CharlieAtTable/TruckModel
Adams Car 2020 truck model
TUMFTM/truckscenes-devkit
Development Kit for the MAN TruckScenes Dataset
MilanKorda/KoopmanMPC
Koopman-Laboratory/KoopmanLab
A library for Koopman Neural Operator with Pytorch.
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
ZhuLinche/NMPC-DCLF-DCBF
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs) (https://arxiv.org/abs/2109.12313, https://arxiv.org/abs/2105.10596, https://arxiv.org/abs/2007.11718)
brunofloriano/NN_MPC
Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication topology.
FreyJo/zoro-NMPC-2021
Zero-Order Robust Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets
Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
manish-pra/sampling-gpmpc
Sampling based GP MPC
LEConger/SLS-evolution-equations
Code accompanying "Convex Constrained Controller Synthesis for Evolution Equations"
michaelwfisher/SystemLevelSynthesis
Implementation of System Level Synthesis with Finite Impulse Response and Simple Pole Approximation
Gedlex/nonlinear-robust-MPC
This repository holds the MATLAB code for the semester project: A Comparison on Robust MPC Methods for Nonlinear Systems
mlab-upenn/LearningMPC
Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.
Intelligent-Driving-Laboratory/GOPS
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
helgeanl/GP-MPC
MPC with Gaussian Process
MarcoTodescato/Efficient-GP-Regression-via-Kalman-Filtering
Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part
tim283/smpc_example
Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.
wepe/MachineLearning
Basic Machine Learning and Deep Learning
mx0922/tutorials_trajOptim_MPC
Some tutorials of trajectory optimization (TO) and model predictive control (MPC) for legged robots.
OpenDriveLab/End-to-end-Autonomous-Driving
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
n-jokic/Vehicle_MPC_control
This GitHub repository implements two Model Predictive Control (MPC) approaches for active front steering systems in autonomous vehicles. The methods are inspired by groundbreaking scientific papers. The project utilizes MATLAB and Simulink, requiring