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Through a case study on a cogeneration system, features of the robust optimal design, based on the relative robustness criterion, are clarified.
A robust optimal design method, based on the relative robustness criterion, is proposed to conduct the unit sizing of energy supply systems, so that they are robust economically under uncertain energy demands.
Additionally, a modified version of an existing robustness criterion is used to construct designs that are robust to missing observations.
Also, area has not been exploited as a robustness criterion, but this can be seamlessly introduced in the robust optimization scheme to export at the system level area penalties involved in topology selection.
Section 2 describes the robustness criterion.
A new robustness criterion, based on the nearest border point of a cone, is proposed.
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In this paper, a robust control method employing these robustness criteria that can be further converted to a generalized H∞ control problem is presented for control of civil structures.
The concept of robust strength is introduced to address both the strength and robustness criteria, with which a design guideline for robust hybrid composites is given.
Table3 summarizes coded domain techniques based on selected robustness criteria.
We compare steganographic methods based on selected robustness criteria.
We examined several robustness criteria as a possible quantification of performance deviations under uncertain recipe variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com