Unverified Commit 86ac9ef0 authored by Art Pelling's avatar Art Pelling Committed by René Fritze
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[release_notes] add references to discrete-time sysyems section

parent cadfffe1
......@@ -13,16 +13,17 @@ Release highlights
Support for discrete-time systems
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
With `[#1500] <https://github.com/pymor/pymor/pull/1500>`_, discrete-time LTI systems can now
be instantiated by passing the sampling time to the constructor. The computation of
With `[#1500] <https://github.com/pymor/pymor/pull/1500>`_, discrete-time |LTIModels| can now
be instantiated by passing the `sampling_time` to the constructor. The computation of
discrete-time gramians has been enabled in `[#1525] <https://github.com/pymor/pymor/pull/1525>`_
by solving the associated Stein equations with solvers from either SciPy or SLICOT and
`[#1617] <https://github.com/pymor/pymor/pull/1617>`_ also allows for Balanced Truncation of discrete-time systems.
In `[#1614] <https://github.com/pymor/pymor/pull/1614>`_, a class for the construction and evaluation of Moebius
transformations was added. Realizations of LTI systems can be transformed according to arbitrary Moebius transformations.
transformations was added. Realizations of LTI systems can be transformed according to arbitrary |MoebiusTransformations|.
The conversion of continuous-time and discrete-time systems with Tustin's method (with optional frequency prewarping)
is implemented on the basis of these Moebius transformations in dedicated model conversion methods.
In preparation for data-driven reduced order modelling methods, a Hankel matrix class is added in
is implemented on the basis of these |MoebiusTransformations| in dedicated
:func:`to_continuous <pymor.models.iosys.LTIModel.to_continuous>` and
:func:`to_discrete <pymor.models.iosys.LTIModel.to_discrete>` conversion methods.
In preparation for data-driven reduced order modelling methods, a |NumpyHankelOperator| is added in
`[#1546] <https://github.com/pymor/pymor/pull/1546>`_ that avoids explicit matrix constructions by supplying
FFT-accelerated matrix-vector multiplication routines that work on the Markov parameters directly.
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