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Robustness and sensitivity of biological models
Philosophical Studies, 2012The aim of this paper is to develop ideas about robustness analyses. I introduce a form of robustness analysis that I call sufficient parameter robustness, which has been neglected in the literature. I claim that sufficient parameter robustness is different from derivational robustness, the focus of previous research.
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Sensitivity and robustness in selection problems
Computers & Operations Research, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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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SEU sensitivity of robust communication protocols
2012 IEEE 18th International On-Line Testing Symposium (IOLTS), 2012Robust communications protocols are widely used in safety critical applications, such as aerospace or automotive systems. On-board complex systems, working in harsh environments, are composed of distributed modules with a high degree of interaction and critical tasks replication.
C. Lopez-Ongil +9 more
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Sensitivity/Robustness Flexible Ellipticity Measures
2012Ellipse is one of basic shapes used frequently for modeling in different domains. Fitting an ellipse to the certain data set is a well-studied problem. In addition the question how to measure the shape ellipticity has also been studied. The existing methods to estimate how much a given shape differs from a perfect ellipse are area based.
Mehmet Ali Aktaş, Joviša Žunić
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Risk sensitive and robust nonlinear filtering
Proceedings of the 36th IEEE Conference on Decision and Control, 2002A risk sensitive approach to nonlinear filtering is considered. In this case, the traditional expected mean squared error is replaced by an expected exponential-of-mean squared error. A pathwise filtering equation is used to take the risk averse limit. This leads to a robust filtering estimator. The robust estimator yields a bound on the estimate error
W.H. Fleming, W.M. McEneaney
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Robust uncertainty sensitivity analysis
Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 2021Bartl, Daniel +3 more
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A cross-disorder dosage sensitivity map of the human genome
Cell, 2022Ryan L Collins, Ab +2 more
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