Simulink Library Blocks with Predefined
Parameterization
Discretizing (Model Discretizer Blocks) • Discretized State-Space- Discretized Transfer Fcn
- Discretized Zero-Pole
- Discretized LTI System
- Discretized Transfer Fcn (with initial
states)
Simulink Extras/Additional Linear State-Space (with initial outputs)
Scalar Expansion
The following tunable blocks support scalar expansion:
- Discrete Filter
- Gain
- 1-D Lookup Table, 2-D Lookup Table, n-D Lookup Table
- PID Controller, PID Controller (2DOF)
Scalar expansion means that the block parameters can be scalar values even when the
input and output signals are vectors. For example, you can use a Gain block to implement
y = ku with scalar k and vector u and y. To do so, you set the Multiplication mode of
the block to Element-wise(K.u), and set the gain value to the scalar k.
When a tunable block uses scalar expansion, its default parameterization uses tunable
scalars. For example, in the y = k*u Gain block, the software parameterizes the scalar k
as a tunable real scalar (realp of size [1 1]). If instead you want to tune different gain
values for each channel, replace the scalar gain k by a N-by-1 gain vector in the block
dialog, where N is the number of channels, the length of the vectors u and y. The software
then parameterizes the gain as a realp of size [N 1].
Blocks Without Predefined Parameterization
You can specify blocks for tuning that do not have a predefined parameterization. When
you do so, the software assigns a state-space parameterization to such blocks based upon
the block linearization. For blocks that do not have a predefined parameterization, the
software cannot write tuned values back to the block, because there is no clear mapping
How Tuned Simulink Blocks Are Parameterized