A Control Systems Toolbox for Julia
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Updated
Dec 9, 2024 - 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
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.
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
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
Control system simulation with LQR, Pole Placement, and LQG methods
Inverted double-pendulum state observer feedback control (SOFC) simulation and verification
LQR, LQG Controller Implementation and Analysis for a two load Crane Problem (Inverted Pendulum)
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
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