Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
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Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Tensor Train Toolbox
Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.
A repo for using different dynamic world modeling for prediction and control: including deep learning based koopman and State-Space Modes (SSM)
This repository contains supplementary material to the paper "Adaptive Koopman Model Predictive Control of Simple Serial Robots".
Repository containing generic functions for the implementation of the EDMD algorithm for the approximation of the Koopman Operator.
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