EthanJamesLew/AutoKoopman
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
This tool helps systems engineers and researchers analyze and predict the behavior of complex systems even when they don't have an existing mathematical model. You provide time-series data from your system, and it automatically creates a simplified, linear model that can be used for prediction, control, or verifying system safety requirements. This is ideal for those working with dynamic systems who need to understand and manage their evolution over time.
No commits in the last 6 months. Available on PyPI.
Use this if you have real-world measurement data from a dynamic system and need to build a predictive model, design control strategies, or verify safety without hand-crafting complex equations.
Not ideal if you already have a well-defined mathematical model for your system or if your primary goal is not related to dynamic system analysis or control.
Stars
81
Forks
10
Language
Python
License
GPL-3.0
Category
Last pushed
May 07, 2024
Commits (30d)
0
Dependencies
8
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