"robustness measurement" is a valid and grammatically correct phrase that can be used in written English.
It refers to the act of assessing or quantifying the strength, durability, or resilience of something. Example: "The engineers conducted a series of tests to determine the robustness measurement of the new bridge design."
Finally, conclusions about the performance of the experimental system with the robust controller are discussed using comparative graphics of the controlled variable and the Nyquist stability margin as a robustness measurement.
Multi-response surface (MRS) optimization in quality design often involves some problems such as correlation among multiple responses, robustness measurement of multivariate process, confliction among multiple goals, prediction performance of the process model and the reliability assessment for optimization results.
We discuss in this section the validity, the reliability and usefulness of our robustness measurement.
We will also take the SF as the robustness measurement in the following discussions.
One valuable aspect of this robustness measurement, is that it can be operationalised: it is possible to quantify the robustness of an existing system, without relying on simulation.
Thus, our algorithm can be used together with a local robustness measurement (e.g., that proposed by Dayarian et al. [ 7]) to get insight into the distribution of a model's robustness in a viable space.
To perform a comparison of the idealized numerical evaluation with the HW robustness measurements, we evaluate the range of SNRs where a zero error rate performance can be achieved for fixed constellations and channel encoder rates (N b,N s,r b,r s ).
(c) Robustness against measurement noise: Even when indirect-learning architectures are affected by measurement noise at the PA output (creating a bias in the estimated PD coefficients) [15], the performance of the MIMO-PD proposed is validated for practical scenarios (SNR > 30 dB), showing good results.
Numerical examples show the robustness against measurement noise.
Additionally, the controller was tested, and showed robustness, against measurement noise levels typical for wastewater sensors.
In this paper we present a method for assessing the robustness of measurement programs.
