HuKangle's Stars
TinyMPC/TinyMPC
Model-predictive control for microcontrollers
kuankuan-yue/VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
ThomasKNR/RotaryStewartPlatform
Repository for source codes for my implementation of a Stewart platform controlled by RC servos.
TUMFTM/velocity_optimization
Optimizes (Maximizes) the velocity profile for a vehicle with respect to physical constraints (e.g., power, force, combined acceleration, ...). Takes into account a variable friction potential between road and tires. Max. power input can be variable (for e.g., energy strategy purpose).
eric20123101/Improved-path-planning-for-ant-colony-algorithm
Terenceyuyue/varFEM
MATLAB Programming for Finite Element Methods
Eric-Bradford/SDD-GP-MPC
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
liviobisogni/quaternion-kalman-filter
Quaternion-based Kalman filter for attitude estimation from IMU data
alshedivat/gpml
An up-to-date version of GPML library.
frank1ma/DDRTC-of-UMSs
This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of nonlinear underactuated mechanical systems (UMS). The method leverages the differential flatness property of linearized systems and online estimation and compensation of disturbances by active disturbance rejection control (ADRC). The differentially flat output is derived directly from measured data with unknown dynamics and parameters of UMS by the flat output identification (FOID) algorithm. A reduced nominal model of UMS is proposed to simplify the process of finding flat output and trajectory planning. Technique of sparse regression is applied to identify the relationships between flat output and system states, which reduces the order of the well-known extended state observer (ESO) and thereby make the ESO more effective for both trajectory planning and tracking in terms …
tdehaeze/stewart-simscape
A toolbox to study Stewart platforms using Matlab/Simscape
TinyMPC/tinympc-python
Python interactive interface for TinyMPC
juliabrault-ML/RLandMPCWorkshop
Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink
A2Amir/Programm-An-Autonomous-Vehicle-in-ROS
In the project I am going to programm a car to drive itself around the test track using components of the perception, planning and control subsystems which will be implemented in the Robot Operation System.
Jiankai-Sun/Bayes-Optimization
A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
rlsotlr01/Bayesian_Optimization_for_MPC_tuning
Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters
mlab-upenn/multisurface-racing
rowan-walsh/CFD-Bayesian-Optimization
Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.
XiaozhuFang/Simple-Comparison-between-Q-learning-and-MPC
course project: a simple implementation of Q learning and MPC
joelpaulson/ADCHEM_ML_MPC_Workshop_2021
Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control
TinyMPC/tinympc-matlab
MATLAB interactive interface for TinyMPC
h-brenne/ROS-UV-Cleaning-Robot
Perform exploration, navigation and coverage path planning covering a room with UV energy with the Turtlebot3
balloon61/Tracked-Mobile-Robot-Adaptive-Control-with-Unknown-Slippage
Implement an adaptive controller for the tracked mobile robot trajectory tracking with the unknown slippage.
fmnyikosa/bayes_opt_mat
BayesOptMat: Bayesian Optimization for MATLAB
YifanLu2000/Robust-Scalable-GPR
Official implementation of the CVPR23 paper: Robust and Scalable Gaussian Process Regression and Its Applications
EugeneLem/SemesterProject
First semester project on applying gaussian processes to MPC on FPGA
girish-radhakrishnan-250894/slip_angle_control
Controller that keeps the front slip angle within a threshold of the peak slip angle of the tire. Uses estimator to estimate slip angle
girish-radhakrishnan-250894/slip_ratio_controller
This repository models a fliexible shaft with a single wheel and includes a controller to limit the slip ratio to +/-10%
GuobinCode/mpc_mathlab
A simple MPC(Model Predictive Control) matlab example program
kkxchen/WF-deep-learning-aided-MPC-supplementary-material
The detailed simulator valiation against realistic measurement data, and the cases setting file