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Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-
Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.Machine-Learning-and-System-Identification-for-Adaptive-Optics
This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.Save-and-Load-Eigen-Cpp-Matrices-Arrays-to-and-from-CSV-files
The functions provided in this C++ source files are used to save and load Eigen C++ matrices/arrays to and from CSV values.Model-Reference-Adaptive-Control---MIT-Rule
Simulation-of-State-Space-Models-of-Dynamical-Systems-in-Cpp--Eigen-Matrix-Library-Tutorial
Introduction-to-Eigen-Cpp-Matrix-Computation-Library
This C++ code explains how to use the Eigen C++ library to perform matrix computations. A video lecture and a post accompanying this code is provides.Machine-learning-of-ARX-models-of-Dynamical-Systems-using-Keras-and-MLP
Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym
These code files implement the deep Q learning network algorithm from scratch by using Python, TensorFlow, and OpenAI Gym. The codes are tested in the OpenAI Gym Cart Pole (v1) environment.Graphics-User-Interface-in-Cpp-and-Plotting-Using-Qt-QCustomPlot-and-Eigen-Matrix-Library
This project demonstrates how to develop graphic user interfaces in C++ using the Qt development environment. Also, we demonstrate how to couple Eigen matrix library with QCustomPlot Qt library to generate graphs and plots in C++Sparse-Approximate-Inverse-of-a-Sparse-Matrix--MATLAB-Implementation
This is a MATLAB function that computes an approximate (sparse) inverse of a sparse matrix.PID-control-implementation-Arduino-Ball-and-Beam-System
This is a C/C++ Arduino file that implements a PID controll algorithm for a ball and beam system.Introduction-to-Time-Series-Analysis-and-Estimation-in-Python
These are the codes that support the lectures on time-series analysis and estimation in Python.matlab_arduino_interface
This is a MATLAB-Arduino interface for controlling mechatronics devices directly from MATLAB. It uses a serial port communicationSensor-Selection-for-Nonlinear-Networks
In this repository, we post MATLAB algorithms for selecting nodes of networks with nonlinear dynamics.Modeling-of-Mirror-Temperature-Dynamics-and-Model-Order-Reduction
Simple-Latex-Template
This is a simple latex template. This template accompanies the YouTube video I made.Low-Cost-Brain-Computer-Interface-by-Using-OpenBCI-Cython-Board-MATLAB-and-Arduino
This repository contains MATLAB and Arduino C codes for establishing a low-cost brain computer interface. The brain computer interface is based on the Cython OpenBCI board, MATLAB, Arduino, and a stepper motor.Monte-Carlo-Method-for-Estimating-State-Value-Function-in-Python-
This code implements the (first visit) Monte Carlo method for estimating the state value function in Python.Execute-Python-Code-From-MATLAB
These code files explain how to execute Python code directly from MATLABMachine-Learning-and-Identification-of-Temperture-Dynamics
Disciplined-Kalman-Filter-Implementation-in-Python
This code implements the Kalman filter in Python by using an object oriented approach.Kalman-Filter-Implementation-in-Cpp-Using-Eigen-Library
Demonstration-of-Meshgrid-and-3D-Plotting-in-Python
Iterative-Policy-Evaluation-Algorithm-and-OpenAI-Gym
This code implements the iterative policy evaluation algorithm in Python. We use the Frozen Lake environment from OpenAI Gym library to illustrate the performance of the iterative policy evaluation algorithm.Introduction-to-Scikit-learn-Classification-and-Visualization
Linear-Quadratic-Regulator-With-Nonzero-Set-Points-in-MATLAB
Plot-Phase-Portraits-and-State-Space-Trajectories-of-Dynamical-Systems-in-MATLAB
In this tutorial, we explain how to generate phase portraits and state-space trajectories of dynamical systems in MATLAB.C-code-Arduino-for-the-Weightlifter-Project
This is an Arduino (C code) for controlling the experimental setup "Arduino Weightlifter". Here is the YouTube video of the project: https://www.youtube.com/watch?v=Fj_0KRzNGfA This code is written by Francesco Pecora (undegraduate student) and Aleksandar Haber (professor) CUNY College of Staten Island April 2018Q-Learning-Algorithm-in-Python-with-Cart-Pole-OpenAI-Gym--Gymnasium-Environment
In this repository, we post the implementation of the Q-Learning (Reinforcement) learning algorithm in Python. The codes are tested in the Cart Pole OpenAI Gym (Gymnasium) environment.Control-Node-Selection-and-Control-Action-Design-for-Nonlinear-Networks-and-Systems
These are the codes for optimally selecting control nodes and computing control actions for networks with nonlinear dynamics and systems.Demonstration-of-Cart-Pole-OpenAI-Gym-Reinforcement-Learning-Environment-in-Python-
This code file demonstrates how to use the Cart Pole OpenAI Gym (Gymnasium) environment in Python.Brief-Intro-to-Multiclass-Classification-in-Scikit-learn-and-Python
Implementation-of-Voting-Classifier-in-Scikit-learn-and-Python---Ensemble-Machine-Learning
Demonstration-of-Inheritance-in-Cpp
Extended-Kalman-Implementation-in-Python
transient-structural-thermal-optical-performance-STOP-analysis-of-reflective-optics
This code repository contains COMSOL Multiphysics and MATLAB files used to perform transient (time-dependent) Structural Thermal Optical Performance (STOP) analysis of reflective optics. We perform the transient STOP analysis of a Newtonian telescope.Bagging-Classifier-in-Python
In this repository, we posted the codes that demonstrate how to implement the Bagging classifier in the Scikit-learn library and Python.Three-must-know-approaches-for-computing-the-Fibonacci-sequence-in-Cpp
Solve-Nolinear-Equations-in-Python-by-Using-fsolve
Policy-Iteration-Algorithm-in-Python-with-Tests-on-Frozen-Lake-OpenAI-Gym-Environment
Reinforcement Learning Tutorial. Implementation of the Policy Iteration Algorithm in Python Tested on the Frozen Lake OpenAI Gym environment.Multi-Armed-Bandit-Problem-and-Epsilon-Greedy-Action-Value-Method-in-Python
This GitHub repository contains Python implementation of the epsilon-greedy action value method for solving multi-armed bandit problem.ROS_modeling_using_xacro_and_urdf
These repository contains xacro/urdf and launch files necessary to model a robot.Machine-learning-of-transient-structural-thermal-optical-peformance-STOP-models
This code repository contains Python codes that are used for estimating structural thermal optical performance (STOP) models of optical systemsSimulation-of-Differential-Equations-in-Python-with-Time-Varying-Inputs-and-Parameters
aleksandarhaber.github.io
This is my webpage/blog.System-Identification-of-Structural-Thermal-Optical-Performance-STOP-models
This code repository contains system identification codes for estimating structural-thermal-optical-performance (STOP) models of reflective optics. Also, this repository contains COMSOL LiveLink for MATLAB codes that are used to generate system identification and validation data.Demonstration-of-Vector-Containers-in-Cpp-Standard-Template-Library-STL-
This file demonstrates how to use and perform basic operations on vector containers in C++ Standard Template Library (STL). The tutorial webpage accompanying this code file is given here:Introduction-to-Recurrent-Neural-Networks-in-Keras-and-TensorFlow
Phase-portraits-of-dynamical-systems-and-state-space-models-in-Python
In this Python dynamical system tutorial, we explain how to construct phase portraits of dynamical systems and state-space models. The posted code will construct a phase portrait and a state-space trajectory of a dynamical system. The webpage tutorial accompanying these codes is given here: https://aleksandarhaber.com/phase-portraits-of-state-spaceSARSA-Temporal-Difference-Learning-in-Python
These code files implement the on-policy SARSA (State-Action-Reward-State-Action) reinforcement learning algorithm in Python.Introduction-to-OpenAI-Gym-Python-Library-and-Frozen-Lake-Reinforcement-Learning-Environment
This code demonstrates how to use OpenAI Gym Python Library and Frozen Lake Environment. This code accompanies the tutorial webpage given here:Greedy-in-the-Limit-with-Infinite-Exploration-GLIE-Monte-Carlo-Reinforcement-Learning-in-Python
The Python codes given here, explain how to implement the Greedy in the Limit with Infinite Exploration (GLIE) Monte Carlo Control Method in Python. We use the OpenAI Gym (Gymnasium) to test the Python codes. More precisely we use the Frozen Lake Environment to test the GLIE Monte Carlo Control method.Love Open Source and this site? Check out how you can help us