Model reductions through lumped parameterization of the distributed channels have been exercised to compute nonlinear DWOs.
Simulations about practical engineering applications will be performed to illustrate the feasibility and the efficiency of these two classes of model reductions.
The model reductions are verified with numerical solutions of the 3D counterpart and validated with experiments from an in-house DLFC fed with a liquid methanol water mixture: overall, good agreement is found.
Other systems may require a projection that is still too large to be solved efficiently; for these, the linearity of the FSP allows for many model reductions and computational techniques, which can increase the efficiency of the FSP method with little or no loss in accuracy.
We will point out where model reductions may have pitfalls in this respect.
Even with model reductions, the synaptic variables evolving during each stage of each rhythm were hybrid variables, representing combined effects of excitatory and inhibitory inputs, which was one unusual aspect of our analysis.
