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

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

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

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

Simulink implementations of sliding mode and LQR controller for rotary inverted pendulum

Design of a Linear Quadratic Regulator balance controller for the Inverted Pendulum. After manually initializing the pendulum in the upright vertical position, the balance controller moves the rotary arm to keep the pendulum in this upright position. Moreover it is capable of balancing itself, even if minor external disturbances are given.

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

Contains simple MPC implementation with neural network learned dynamics.

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

Building self-balancing robot using LQR controller

(LQR controller AND KALMAN FİLTER APPLİCATİON) In real world, we have a lot of straight highways. In this highways, we do not need to make an movement to drive. We can just start our cruise control and lock our cars' wheel. Do you think that it is simple?. Actually there is not any highways, which is 100 percent straight. Because of this situation we can not lock our the wheel of our autos and can not go straight.To lock our wheel and watch the route, we can design a controller and our system can follow our routes autonomusly for small degree. For example our system can follow small sinus signal. You can see our system.We assumed that it is unicycle robot. We are going to adjust our robots' angle via controlling angular accelartion

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

Implments LQR and LQG Control Algorithms

High performance flight control system

Implemented pole placement and linear quadratic regulator on several real-world systems.

ENPM667 (Control of Robotic Systems) - Final Project

A two-wheeled remote control self-balancing robot based on the ATmega2560 microcontroller.

A matlab experiment with inverted pendulum to learn control theory

🤖 Self balancing robot v2