Sentence examples for robustness objectives from inspiring English sources

This paper studies the problem of decentralized control design for thermal control in buildings, to achieve a satisfactory trade-off between underlying performance and robustness objectives.

New formulations of robustness objectives in fault diagnosis are explored and experimental results applied to a hydraulic process demonstrate the potential of the proposed method.

Figure 1 depicts sensitivity analysis for the model robustness and objective function value Z.

where and denote, respectively, the expectation and the variance of stochastic matrix, and is introduced to describe the preference of decision maker to the average level and the robustness of objective value, and is called the preference level of decision maker.

The effectiveness of this approach regarding definition of design spaces with ensured robustness and desired objectives was demonstrated.

To address this shortcoming, an approach is developed that uses metamodels (surrogates of computationally expensive simulation models) to calculate robustness and other objectives.

For sprays, as described by a kinetic disperse phase model strongly coupled to the Navier Stokes equations, the resolution strategy is constrained by accuracy objectives, robustness needs, and the computing architecture.

The illustrative example involves designing an endogenous network with two objectives, robustness to random node failure and resilience to targeted attack, considering specific node-level characteristics, additional attractiveness, as the design variables.

One intends to infer the metabolic objective function, and the other is to analyze the robustness of the objective function.

It is obvious from Eq. (11) that the objective robustness index is positive for any design vector, and the larger objective robustness index indicates the better and more robust of a design vector as far as the objective mechanical performance index is concerned.

The feasible robust design vectors are ranked according to their objective robustness indices.