A Control Systems Toolbox for Julia

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

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

LQR and LQG control for gantry crane with 2 connected masses

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

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

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.

LQR-LQG-Controller Design

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

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

End-to-end AO pipeline: SH-WFS centroiding (127x C speedup) → CNN/MMSE reconstruction (Strehl 0.9987) → LQG closed-loop control → SLODAR turbulence profiling | BAH 2026 Challenge #9

LQR and LQG control for gantry crane with 2 connected masses

LQG controller to control the dual pendulum cart

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

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

ENPM 667- Controls for Robotics Systems: Final Project

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

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

This project involves the development of a two-load crane control system, implemented as part of the ENPM667 Robotics course. The main objective was to enhance the crane's dynamic response and stability using advanced control algorithms.

EN: Linearization and LQR+LQG control of reverse pendulum on cart system. ---- IT: Linearizzazione e controllo LQR+LQG del sistema pendolo inverso su carrello