The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
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.
A Control Systems Toolbox for Julia
Fan Kui Gen Zong Kong Zhi Qi ,Kong Zhi Suan Fa Gong Ju Bao ,ADRCZi Kang Rao Kong Zhi ,PIDKong Zhi ,Kang Ji Fen Bao He PIDKong Zhi ,Zeng Liang Shi PIDKong Zhi ,Mo Hu FuzzyPIDKong Zhi ,LQRXian Xing Er Ci Xing Diao Jie Qi Kong Zhi ,Qi Fa Suan Fa Kong Zhi ,Qiang Hua Xue Xi Kong Zhi ,Wu Ren Ji Gui Ji Gen Zong Kong Zhi
GPU-friendly, auto-differentiable LQR solver with JAX.
25 path-tracking algorithms are (going to be) implemented with python.
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
An inverted pendulum that jumps and balances. It's a simplified version of the Cubli that you can build yourself.
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.
LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot
Ben Xiang Mu Shi Quan Guo Da Xue Sheng Zhi Neng Che Jing Sai GDUT 2022Nian Ji Su Yue Ye Zu De Xiang Mu Wen Jian . Cai Yong Liao LQRKong Zhi Qi He Duo Su Lu Qia Er Man Rong He Suan Fa ,Bing Zai Dan Pian Ji Shang Shi Xian . This project is the project document for the GDUT 2022 Extreme Off-Road Category of the National Student Intelligent Vehicle Competition.
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).
Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python
This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible
Self-balancing robot analysis and LQG optimal controller design with MATLAB Simulink and Simscape Multibody
UAV Dynamics and Autonomous control (LQR, MPC, Adaptive, Non-linear, Geometric Control, Cascaded Control , Estimation/filtering )
Control an inverted pendulum (Segway robot) with an Arduino & RaspberryPi
Building self-balancing robot using LQR controller
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