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Gain and phase margins are well known parameters for evaluating the robustness of a control system.
Although for evaluating the robustness of a controller we are able to abstract away from the application (target system), we nevertheless use the application to drive the evaluation.
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In this paper, we propose an approach for evaluating the robustness of controllers for self-adaptive software systems, aiming to identify faults in their design.
Our analytical protocol provides a useful approach for evaluating the robustness of phylogenomic inferences.
Develop a framework for resilience evaluation of self-adaptive software systems based on our technique for evaluating the robustness of controllers.
In the following, we present three robustness indicators, inspired by an approach used in Biology for evaluating the robustness of ecosystems, which does not require any subjective judgement nor any deep technical knowledge.
We performed two independent experiments for evaluating the robustness of the treelet distribution on the Yeast PPI network, which is the best developed among the networks we considered.
An enhanced and efficient methodology for interval analysis is proposed to evaluate the robustness of an uncertain structure.
The 'Methods' section describes our approach that is focused specifically on evaluating the robustness of controllers for self-adaptive systems.
Finally, the current study demonstrated both the utility of using genetic factors underlying obesity as well as evaluating the robustness of the breastfeeding association controlling for these factors.
Download Evaluating the Robustness of Learning Analytics Results Against Fake Learners at MIT DSpace.
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