LQR, LQG Controller Implementation and Analysis for a two load Crane Problem (Inverted Pendulum)
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Updated
Jan 8, 2020 - MATLAB
LQR, LQG Controller Implementation and Analysis for a two load Crane Problem (Inverted Pendulum)
ENPM667 (Control of Robotic Systems) - Final Project
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
Design of LQR and LQG Controllers for two inverted pendulums on a moving cart
Linear Quadratic Regulator and Linear Quadratic Gaussian Controller Design for a crane system.
Helicopter lab at NTNU, using LQ-control in order control a miniture helicopter
Control system simulation with LQR, Pole Placement, and LQG methods
Advanced control system project, based on simulation with LQR, LQG, and Kalman Filter methods
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 and LQG control for gantry crane with 2 connected masses
LQR-LQG-Controller Design
LQG controller to control the dual pendulum cart
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.
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
Self-balancing robot analysis and LQG optimal controller design with MATLAB Simulink and Simscape Multibody
Design and Simulation of LQR and LQG Controller for Crane System
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