GreyBox-Neural-State-Space-Normalization

This repository contains the implementation of the Paper "On the Normalization of Gray-Box State-Space Neural Networks"

Authors

Milad Banitalebi Dehkordi, Marco Forgione, Gionata Cimini, Lapo Frascati, and Dario Piga

Requirements

The python requires the following packages:

• numpy
• time
• random
• pytorch (main package)
• sklearn
• seaborn (required for ploting)
• matplotlib (required for ploting)
• pickle (required for loading data reading/writing)
• pandas (required for loading data reading/writing)

Instructions

1. Main.ipynb: execute to obtain the results for the Cascaded Tanks System Real Benchmark
2. Main_MC.ipynb: execute to obtain the results for the Cascaded Tanks System Syntheticly Generated Dataset
3. Plotter.ipynb - Plotter_UnNormalized.ipynb - Histogramer.ipynb: execute to obtain the figures
4. MCgenerator: execute to generate synthetic data for the Cascaded Tanks System