Sentence examples for steady state sensitivity from inspiring English sources

The selected configuration for our study case is subjected to numerous steady state sensitivity analyses.

The effect of steady state sensitivity to different input step changes on the performance of the approximate model has been explored.

The peak frequency output (fp) from the steady state sensitivity characteristics and the first cut off frequency (fc) from the transient characteristics have been considered as inputs to the multilayer ANN.

A steady state sensitivity analysis of state variable distributions (namely, potential, temperature, velocity and gas volume fraction) with respect to a key design variable (the imposed voltage profile) reveals the reactor heating potential, the geometry of the Al region and the nontrivial operation, design and optimization problems.

In conclusion, the dynamic logarithmic gains are not only useful for analyzing metabolic reaction systems but also can offer additional insights on the transient behavior of the system over steady state sensitivities, leading to a proper design of metabolic systems.

We find that negative steady-state sensitivity significantly reduces the strain required to initiate necking failure in a tensile specimen.

The specific objectives of this work are the evaluation of the steady-state sensitivity of the column and the dynamic implications of its operation with energy reduction.

The basic idea in the approach is that the designer assigns objectives such as steady-state tracking, maximum resonance peaks, bandwidth, minimum stability margin, steady-state sensitivity and maximum sensitivity to modelling errors.

To evaluate the control performance, we conducted local steady-state sensitivity and global sensitivity analysis.

The steady-state sensitivity describes the change of the steady state given a small perturbation of a certain parameter [25].

It is customary in BST to distinguish the model's steady-state sensitivity with respect to parameter values as opposed to independent variables.