The phrase "and robustness analysis of" is correct and usable in written English.
It can be used in contexts where you are discussing the evaluation of the robustness of a particular system, model, or process.
Example: "The study focuses on the performance metrics and robustness analysis of the proposed algorithm."
Alternatives: "and robustness assessment of" or "and robustness evaluation of".
The stability and robustness analysis in presence of an additive disturbance proves the existence of a tuning parameter set for which the estimator's dynamics are asymptotic stable and the estimation error asymptotically converges to a residual set whose size depends on the amplitude of the disturbance.
Oxygen is known to affect the degree of unsaturation of PUFAs, and robustness analysis determined that an oxygen uptake rate of 2.0 mmol gDW−1 h−1 was optimal for ARA accumulation.
We discuss two applications of the probabilistic distance: in the construction of the Decision-Theoretic Video andinorobustnessanalysisofustness analysis of a theory refinement technique for preference elicitation.
Three main results are a characterization of possible augmentations from observability perspectives, a parameterization of the augmentations from the method, and a robustness analysis of the proposed augmentation estimation method.
Considering the case in which the plant has both real parametric uncertainty and complex uncertainty due to high frequency unmodeled dynamics, the mixed structured singular value method is applied to stability and performance robustness analysis of disturbance observer compensated systems, with an active car steering control example used to illustrate the method.
A disturbance rejection and robustness analysis is also performed via numbers of simulations at extreme flight conditions.
This paper describes a model-based approach that can be used to gain process knowledge and assist in the robustness analysis of an ion-exchange chromatography step using a model-based approach.
This paper presents a methodology to gain process knowledge and assist in the robustness analysis of an ion-exchange step in a protein purification process using a model-based approach.
One, from the process model point of view, using a recursive least squares estimator algorithm for direct self-tuning design, and another, using a Mamdani fuzzy GMV2DOF parameters scheduling technique based on analytical and physical interpretations from robustness analysis of the system.
