Sentence examples for model reduction the from inspiring English sources

With the stand-alone model, cost-efficient parameter studies can be performed, with further model reduction, the use in model-based control algorithms is also possible.

In the context of model reduction, the requirements for the reduced model are that the projected system is a good approximation to the large scale system for a large frequency range, and also for a large set of parameter variations.

FitzHugh [15] and Nagumo [16] introduced a Van der Pol-type two-dimensional model reduction (the now famous FHN model) which captures the essential qualitative dynamics of the HH model.

When this is applied to the full model (before model reduction) the table-wide type I error rate is effectively 5% (Fig.  3b).

Since the CSP information will be available for every time interval and is the basis for the time-dependent model reduction, the time interval should be large enough in comparison with the time scale of interest.

In sharp contrast, after model reduction, the same strict α-level of 0.0024, in our example, will still produce approximately 12% type I errors if sample sizes and N/ k ratios are low (here N = 50, N/ k =��2.4; Fig.  3b).

The starting point of the model reduction is the model published by Kearns et al. [ 20], hereafter referred to as the Kearns model.

The model reduction and the observer design detailed in this paper are discrete-time analogs of the results of Aldeen and Trinh (1994) for continuous-time linear systems.

Our method essentially uses the model reduction of the original linear control system.

The main results are discussed in three parts: Section Exact Model Reduction presents the extension of the transformation pattern introduced by Conzelmann et al. [ 16].

IS conceived the procedure for CSP based model reduction, performed the CSP analysis and drafted the initial manuscript.