openoc 0.1.2

free optimal control software

Introduction

Openoc is a Python package that solves optimal control problems numerically. It utilizes advanced techniques to be powerful, easy to use, and fast.

• Powerful: Openoc can solve basically any optimal problem. It employs a multi-phase optimal control model which allows continuous/non-continuous state and control variables, path/integral/boundary constraints, and fixed/free initial and terminal time.

• Easy to use: Openoc is designed to be easy to use. It provides a SymPy-based, intuitive interface for defining and solving problems.

• Fast: Openoc is fast. It uses various techniques to speed up the entire compilation & solution process, including symbolic differentiation (with SymPy), JIT compilation (with Numba), meta-programming, and more.

Installation

The easiest way to install openoc is using conda:

1. Install Anaconda and create a new environment with Python 3.9.*

2. Activate the environment, and run in the terminal:

   conda install numpy scipy sympy numba
   conda install -c conda-forge cyipopt
   pip install openoc

License

MIT. Feel safe to use it in your research & projects.