decargroup/robust_observer_koopman
Companion code for Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
This project helps control systems engineers and researchers analyze and synthesize robust observers for dynamic systems, especially when dealing with uncertainty. It takes raw or preprocessed system measurement data, applies Koopman operator techniques for modeling, and outputs plots and results detailing observer performance under various uncertainties. It's designed for those working with system identification and robust control.
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Use this if you are a control systems engineer or researcher needing to model system uncertainty and design robust observers based on Koopman operator methods, and you want to replicate or extend the results from the companion paper.
Not ideal if you are looking for a general-purpose system identification tool without a focus on Koopman operators or robust observer synthesis, or if you prefer a graphical user interface over command-line execution.
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Language
Python
License
MIT
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Last pushed
Feb 14, 2025
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