The phrase "at nominal values" is correct and usable in written English.
It is typically used in contexts related to finance, economics, or technical fields to indicate that values are being considered at their face or stated amounts, without adjustments for inflation or other factors.
Example: "The project was evaluated at nominal values to simplify the analysis and focus on the initial costs."
Alternatives: "at face value" or "at stated values".
An added constraint to dynamic balancing strategy is the requirement for operation in real time to maintain system frequency and voltage at nominal values.
Interaction energies were truncated at nominal values above 30 kcal/mol, and electrostatics were ignored within the steric envelope of each inhibitor.
To guide the development of the reduced-form model, we performed sensitivity analyses for key parameters that were individually varied over a wider range than analyzed previously, while other parameters were maintained at nominal values.
In one set of simulations, we perturbed the system by varying the time-delay function of either TRAF1 or NF κB2 one at a time and keeping all other rate constants at nominal values.
In another set, we perturbed the system by varying these time-delay functions of both TRAF1 and NF- κB2 simultaneously while keeping all other rate constants at nominal values.
In addition, by decreasing the wind speed, the blade pitch angle is reduced and at this step to fix the power and speed of the generator at nominal value, robust controller was designed.
We set the parameters of the mucosa and submucosa layers at the nominal values defined at the beginning of this section.
By fixing parameters at their nominal values, a total of 11 initial conditions were perturbed at the same time.
They are usually entered manually at constant nominal values.
A common approach is to select a set of parameters for estimation while other parameters are fixed at their nominal values.
The controller associated with each mode was designed based on a semi-adaptive control technique, where a subset of high-sensitivity model parameters are adapted in real time while the remaining low-sensitivity parameters are fixed at relevant nominal values.
