AleksandarHaber/Phase-portraits-of-dynamical-systems-and-state-space-models-in-Python

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AleksandarHaber/Phase-portraits-of-dynamical-systems-and-state-space-models-in-Python

AleksandarHaber

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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-space

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 communication

Sensor-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 MATLAB

Machine-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.

Disciplined-Python-Implementation-of-the-Recursive-Least-Squares-Method

This is a disciplined Python implementation of the Recursive Least Squares Method

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 2018

Q-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 systems

Simulation-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

SARSA-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.