Model Reduction

Model order reduction, low-order approximation, pole-zero cancellation

Working with lower-order models can simplify analysis and control design. Simpler models are also easier to understand and manipulate than high-order models. High-order models obtained by linearizing complex Simulink® models, interconnecting model elements, or other sources can contain states that do not contribute much to the dynamics of particular interest to your application. Use the Model Reducer app or functions such as balred and minreal to reduce model order while preserving model characteristics that are important for your application.

For more information about ways to reduce model order, see Model Reduction Basics.


Model Reducer Reduce complexity of linear time-invariant (LTI) models


balred Model order reduction
balreal Gramian-based input/output balancing of state-space realizations
minreal Minimal realization or pole-zero cancelation
sminreal Structural pole/zero cancellations
modred Eliminate states from state-space models
freqsep Slow-fast decomposition
hsvd Hankel singular values of dynamic system
hsvplot Plot Hankel singular values and return plot handle
balredOptions Create option set for model order reduction
hsvdOptions Create option set for computing Hankel singular values and input/output balancing
freqsepOptions Options for slow-fast decomposition
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