Results 231 to 240 of about 339,347 (266)
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Sensitivity Reduction and Robustness
1994In Chapters Two to Five we devote our attentions primarily to issues regarding parameter-sensitivity analysis. In spite of different uncertainties which may exist in a dynamical system, we expect that our controller will ultimately maintain qualitatively and/or quantitatively the overall system operation as desired.
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Robustness And Sensitivity Analysis.
1970PhD ; Mathematics ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/186456/2/7115220 ...
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Robustness Sensitivities in Large Networks
2018This article focuses on developing a framework to assess robustness in large interconnected networks that arise frequently in many socioeconomic networks such as transportation, economics, and opinion dynamics. We first introduce the idea of “asymptotic” resilience, i.e., a measure of robustness to disturbances, as the network size increases, keeping ...
T. Sarkar, M. Roozbehani, M. A. Dahleh
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Robust Detection of Water Sensitive Papers
2018The automatic analysis of water-sensitive papers (WSP) is of great relevance in agriculture. SprayImageMobile is a software tool developed for mobile devices (iOS) that provides full processing of WSP, from image acquisition to the final reporting. One of the initial processing tasks on SprayImageMobile is the detection (or segmentation) of the WSP on ...
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Sensitivity, robustness and efficiency of adaptation
International Journal of Adaptive Control and Signal Processing, 1992AbstractThe paper contains a brief review of some new results for the classical parametric ‘sensitivity‐robustness’ problem. Some stability robustness criteria are shown and an optimal robust feedback design is presented. The main attention is paid to the performance index robustness. Sensitivity coefficients and their majorants are found for H2‐ and H∞
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A Systematic Review on Software Robustness Assessment
ACM Computing Surveys, 2021Jorge Bernardino +2 more
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Robustness and Sensitivity of Communication Models
1988For the purposes of analysis and design, communication channels and networks are customarily represented by models which are, deliberately, abstractions from and simplifications of the real entities. We may variously consider a model to be an ideal which real systems should copy as closely as possible, or an approximate representation of a pre-existing
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Sensitivity and Robustness with Constant Controllers
1989The preceding controller design methods assumed that the process model is exactly known. However, this is never the case in practice. In theoretical modelling as well as in experimental identification one must always take into account both the small and often the large differences between the derived process model and the real process behaviour.
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Beyond generalization: a theory of robustness in machine learning
SynthÈse, 2023Thomas Grote +2 more
exaly
PERSPECTIVE: EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS
Evolution; International Journal of Organic Evolution, 2003Joachim Hermisson, Santiago F Elena
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