Sentence examples for both performance and robustness from inspiring English sources
The optimal parameters of the lead/lag controller are obtained by using the tabu search algorithm (TSA), so that both performance and robustness are satisfied.
When the dynamic behavior of the structure change, the controller and reconstructor must be updated to cope with the changes in the structure behavior, in order to maintain both performance and robustness.
This paper formulates the dual-dimensional supplementary damping controller (SDC) and accelerating power system stabilizer (PSS2B) design as a multi-objective optimization procedure including both performance and robustness criteria.
Even with such uncharacteristic assumptions for ADRC, the proposed method still exhibits significant improvements in both performance and robustness over the existing methods such as the dead-time compensator based on disturbance observer and the Filtered Smith Predictor, in the context of some well-known problems of chemical reactor and boiler control problems.
Detailed simulation verifies both dynamic performance and robustness given by the controllers and stability of the switching.
Finally, the advantage of using genetic algorithms over traditional "hill-climbing" optimization methods is shown, on the grounds of both nominal performance and robustness.
In Part I of this paper a general frequency domain method to adjust multivariable controllers with respect to both nominal performance and robustness are presented.
A frequency domain method, which makes it possible to adjust multivariable controllers with respect to both nominal performance and robustness, is presented.
Operating within the defined optimum window of operation resulted in both enhanced performance and robustness for the oxidation step in the piloting and manufacturing campaigns.
Moreover, nonlinear and piecewise linear formulae to calculate the incentive amounts are shown to improve both the performance and robustness across different projects.
A selection criterion is then applied which enables the best candidates to be identified on grounds of both nominal optimized performance and robustness.
