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View Code? Open in Web Editor NEWDynamical Systems with JAX
License: MIT License
Dynamical Systems with JAX
License: MIT License
.. but only when run together with other tests!
For example as described by Garces, Strategies for Feedback Linearisation https://doi.org/10.1007/978-1-4471-0065-2.
Python bindings: https://cyipopt.readthedocs.io/en/latest/
Apart from example_models. Move modules into private namespaces (dynax._modules
).
Sources:
sys, model: it's confusing
This makes it more difficult to subclass.
see Berber, Ridvan, and Costas Kravaris, eds. Nonlinear Model Based Process Control. Dordrecht: Springer Netherlands, 1998. https://doi.org/10.1007/978-94-011-5094-1, pp. 246
Options:
OptimizeResult like object
with additional attributes:
Seems like the only places where they are used are in linearized.py. Here, one could just replace the default x0 values with required arguments of the right size.
Options:
eqx.filter
. https://docs.kidger.site/equinox/api/filtering/partition-combine/which = lambda tree: (tree.layers[-1].weight, tree.layers[-1].bias)
def fix_parameter(pytree, which):
those = which(pytree)
filter_spec = jtu.tree_map(lambda _: False, pytree)
filter_spec = eqx.tree_at(
which,
filter_spec,
replace=[True]*len(those),
)
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