The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

A Control Systems Toolbox for Julia

Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, RPP, DWA, DDPG, Bezier, B-spline, Dubins, Reeds-Shepp etc.

25 path-tracking algorithms are (goint to be) implemented with python.

反馈跟踪控制器，控制算法工具包，ADRC自抗扰控制，PID控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，LQR线性二次型调节器控制，启发算法控制，强化学习控制，无人机轨迹跟踪控制

An inverted pendulum that jumps and balances. It's a simplified version of the Cubli that you can build yourself.

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

LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot

本项目是全国大学生智能车竞赛GDUT 2022年极速越野组的项目文件。采用了LQR控制器和多速率卡尔曼融合算法，并在单片机上实现。This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.

This repository contains different aspects of autonomous mobile robots including motion, control, and estimation. PID, LQR, and MPC controllers for differential drive robot are developed with ROS2. In addition, some filters are covered such as particle filter and ekf for localization.

Modelling and control of a railway vehicle active suspension system to improve the reduction in vibrations in the vehicle.

Addressing the combined problem of trajectory planning and tracking control for under-actuated autonomous underwater vehicle (AUV).

Self-balancing robot analysis and LQG optimal controller design with MATLAB Simulink and Simscape Multibody

This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible

Control an inverted pendulum (Segway robot) with an Arduino & RaspberryPi

Autonomous flight control algorithms for quadrotor uavs, simulation and testing in MatLab/Simulink and SITL, px4, flightmare, ROS and Gazebo (Currently in development)

Contains simple MPC implementation with neural network learned dynamics.

Building self-balancing robot using LQR controller

Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python