Update readme

Author: rssalessio

README.md

@@ -1,36 +1,41 @@
 # PythonVRFT Library - Version 0.0.3
-VRFT Adaptive Control Library written in Python.
+VRFT Adaptive Control Library written in Python. Aim of this library is to provide an implementation of the VRFT (Virtual Reference Feedback Tuning) algorithm.
 
-**Author**: Alessio Russo (PhD Student at KTH - alesssior@kth.se)
-
-Aim of this library is to provide an implementation of the VRFT (Virtual Reference Feedback Tuning) algorithm.
+_Author_: Alessio Russo (PhD Student at KTH - alesssior@kth.se)
 
 ![alt tag](https://github.com/rssalessio/PythonVRFT/blob/master/examples/1_example.png)
+## License
+Our code is released under the GPLv3 license (refer to the [LICENSE](https://github.com/rssalessio/PythonVRFT/blob/master/LICENSE) file for details).
+
+## Requirements
+- Python 3.9.1
+- NumPy 1.19.5
+- SciPy 1.6.0
 
-Installation
+## Installation
+Check the requirements, but the following command should install all the packages.
 ------
 Run the following command from  root folder:
 ```sh
 pip install . 
 ``` 
-Dependencies: numpy, scipy
 
-Tests
+## Examples
+------
+Examples are located in the examples/ folder. At the moment only 1 example is available.
+
+## Tests
 ------
 To execute tests run the following command
 ```sh
 python -m unittest
 ``` 
 
-Examples
-------
-Examples are located in the examples/ folder. At the moment only 1 example is available.
-
-Objectives
+## Changelog
 ------
 - [**DONE - V0.0.2**][26.03.2017] Implement the basic VRFT algorithm (1 DOF. offline, linear controller, controller expressed as scalar product theta*f(z))
 - [**DONE - V0.0.3**][05.01.2020] Code refactoring and conversion to Python 3; Removed support for Python Control library.
-- [**TODO**] Add Documentation and Latex formulas
+- [**In Progress**][07.01.2020-] Add Documentation and Latex formulas
 - [**TODO**] Add MIMO Support
 - [**TODO**] Add IV Support
 - [**TODO**] Generalize to other kind of controllers (e.g., neural nets)