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fhchl authored Aug 11, 2023
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Expand Up @@ -6,11 +6,11 @@ _"Dynamical systems in JAX"_

__This is WIP!__

This package combines [JAX][jax], [Diffrax][diffrax], and [Equinox][equinox] for
straight-forward simulation, fitting and linearization of dynamical systems. Main features
This package allows for straight-forward simulation, fitting and linearization of dynamical systems
by combing [JAX][jax], [Diffrax][diffrax], [Equinox][equinox], and [scipy.optimize][scipy]. Its main features
include:

- estimation of ODE parameters and their covariance via nonlinear Least-Squares
- estimation of ODE parameters and their covariance via the prediction-error method
- estimation of linear ODE parameters via matching of transfer-functions
- fitting with multiple shooting
- input-output linearization of continuous-time input-affine systems with well-defined relative degree
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- [dynamax][dynamax]: inference and learning for probablistic state-space models


[scipy]: https://docs.scipy.org/doc/scipy/reference/optimize.html
[dynamax]: https://github.com/probml/dynamax
[nlgreyfast]: https://github.com/meco-group/nlgreyfast
[jax]: https://github.com/google/jax
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