Applying LQG Controller to control the Robotic ARM

Design of LQR and LQG Controllers for two inverted pendulums on a moving cart

Helicopter lab at NTNU, using LQ-control in order control a miniture helicopter

ENPM667 (Control of Robotic Systems) - Final Project

Design and Simulation of LQR and LQG Controller for Crane System

python lib for linear quadratic control

This repository includes two projects completed as part of the coursework. The first project involves replicating a research paper comparing controllers for a differential drive robot. The second project focuses on implementing LQR and LQG controllers for a crane system using MATLAB. Both projects demonstrate the knowledge acquired during the cours

LQR and LQG control for gantry crane with 2 connected masses

ENPM 667- Controls for Robotics Systems: Final Project

Modeling of double pendulum suspended on a cart system, and designing LQR controllers and LQG controllers to control state variables like cart position, pendulum angular displacement, velocity

LQR, LQG Controller Implementation and Analysis for a two load Crane Problem (Inverted Pendulum)

Control system simulation with LQR, Pole Placement, and LQG methods

Inverted double-pendulum state observer feedback control (SOFC) simulation and verification

Welcome to the Optimal Control course repository at K.N. Toosi University of Technology! This repository serves as a hub for sharing course materials and homework assignments related to the fascinating field of optimal control.

LQG controller to control the dual pendulum cart

Advanced control system project, based on simulation with LQR, LQG, and Kalman Filter methods

LQR-LQG-Controller Design

Linear Quadratic Regulator and Linear Quadratic Gaussian Controller Design for a crane system.

modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation