An initialization method for nonlinear model reduction using the CP decomposition Vrije Universiteit Brussel KU Leuven
Every parametric model lies on the trade-off line between
accuracy and interpretability. Increasing the interpretability of a model,
while keeping the accuracy as good as possible, is of great importance
for every existing model today. Currently, some nonlinear models in the
field of block-oriented modeling are hard to interpret, and need to be
simplified. Therefore, we designed a model-reduction technique based on
...
accuracy and interpretability. Increasing the interpretability of a model,
while keeping the accuracy as good as possible, is of great importance
for every existing model today. Currently, some nonlinear models in the
field of block-oriented modeling are hard to interpret, and need to be
simplified. Therefore, we designed a model-reduction technique based on
...