A matlab experiment with inverted pendulum to learn control theory

My Scilab Codes during EE324 (Control Systems Lab) Autumn 2021-22 and EE615 (Control and Computing Lab) Spring 2022-23

This project consist in the design and implementation of an optimal control law for a vehicle described by simple bicycle model. We have used the LQR (Linear Quadratic Regulator) and the MPC (Model Predictive Control) techinques.

A skateboarding robot! In real life + simulation.

Van der Pol Oscillator in C++. Finite Differences, SPSA and LQR controllers are used to drive the oscillator.

Multivariable Control - Output feedback optimal controller

Analytical & Programming exercises on linear control systems

(LQR controller AND KALMAN FİLTER APPLİCATİON) In real world, we have a lot of straight highways. In this highways, we do not need to make an movement to drive. We can just start our cruise control and lock our cars' wheel. Do you think that it is simple?. Actually there is not any highways, which is 100 percent straight. Because of this situati…

Repository to design and implement LQR control on an AUV by ECA-Group

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

an Inverted Pendulum with a LQR and an Observer

Implemented pole placement and linear quadratic regulator on several real-world systems.

ENPM667 (Control of Robotic Systems) - Final Project

C++ Flight Controller

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

Implments LQR and LQG Control Algorithms

LQR and LQG control for gantry crane with 2 connected masses

Cart-Pole Matlab & ROS/Gazebo Co-simulation framework developed by erc-dynamics.

Optimal LQR control for drone landing using MATLAB, emphasizing strategic pole placement for precise descent.