A Control Systems Toolbox for Julia
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Updated
Jan 21, 2025 - Julia
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.
Advanced control system project, based on simulation with LQR, LQG, and Kalman Filter methods
LQR-LQG-Controller Design
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
Inverted double-pendulum state observer feedback control (SOFC) simulation and verification
LQR and LQG control for gantry crane with 2 connected masses
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)
Control system simulation with LQR, Pole Placement, and LQG methods
Design of LQR and LQG Controllers for two inverted pendulums on a moving cart
Applying LQG Controller to control the Robotic ARM
Helicopter lab at NTNU, using LQ-control in order control a miniture helicopter
ENPM667 (Control of Robotic Systems) - Final Project
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