https://github.com/roscibely/system-identification-with-rnn

Recurrent neural network models for system identification 💻
https://github.com/roscibely/system-identification-with-rnn

Last synced: 7 months ago
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Recurrent neural network models for system identification 💻

• Host: GitHub
• URL: https://github.com/roscibely/system-identification-with-rnn
• Owner: roscibely
• Created: 2020-12-17T12:35:36.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2020-12-18T11:59:47.000Z (almost 5 years ago)
• Last Synced: 2025-01-21T21:47:14.087Z (9 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 323 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# System identification with RNN

## Requirements

  📍[Slycot](https://pypi.org/project/slycot/)

  

  📍[Control](https://pypi.org/project/control/)

  

    !pip install slycot   # optional

    !pip install control

    

## How it works

  The framework consists of three recurrent neural network models, which are used for system identification.