Bernstein Optimizer

Overview

This repository contains the implementation of the Bernstein Optimizer, a tool designed for optimizing control systems. The optimizer utilizes Bernstein polynomials to provide a robust and efficient method for solving optimization problems in control theory. The code is intended to accompany an upcoming paper detailing the methodology, applications and results.

Getting Started

To use the Bernstein Optimizer, clone this repository to your local machine:

git clone https://github.com/your-username/bernstein-optimizer.git

Set up a Python environment and install the required dependencies:

cd bernstein-optimizer
python -m venv venv
source venv/bin/activate
pip install numpy scipy matplotlib

Examples

The repository includes several example files demonstrating the application of the Bernstein Optimizer to various control problems. These examples are located in the main_analytical_example_*.py and main_nonanalytical_example_*.py files. Each example file provides a different scenario in which the optimizer is applied, to be detailed in the paper.

Usage

To run an example, navigate to the repository directory and execute the corresponding Python file. For instance, to run the first analytical example:

python main_analytical_example_1.py

Requirements

The Bernstein Optimizer requires the following Python libraries:

• NumPy
• SciPy
• MatPlotLib

Ensure that these libraries are installed on your system before running the examples.

TODO

• Package the optimizer for distribution via PyPI (pip)