MATLAB implementation of all the Operations Research algorithms and problems solved by me.

Gradient descent algorithms for LQG control

Agent versus Controller approach in balancing CartPole system.

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.

Drone Control with Regularator (LQR) and Observer

Model predictive control for autonomously drifting cars simulated in VDrift. Best open-source hack at Bitcamp 2022.

An Open AI Gym custom environment

Implementation of differential game theoretic solution for a simple spatial negotiation problem between two agents.

状態方程式に基づく制御（現代制御，極配置，最適レギュレータ，可制御，制御教育）YouTube

Model-Free Optimal Control Design Using Policy Iteration for LQR Problems - MATLAB

Seoul Natioanl University@Control System 1 Course. Mainly including the Stability, Controllability, Observability, Kalman Filter, Linear Quadratic Regulator(LQR), Balanced and Reduced Controller, and some others.

This project was developed for the final examination of the course Optimal Control for the Master's degree in Automation Engineering at the University of Bologna.

Design and Simulation of LQR and LQG Controller for Crane System

This repository contains MATLAB code for simulating the walking motion of a humanoid robot using a Linear Quadratic Regulator (LQR) controller based on principles similar to those of an inverted pendulum.