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Robust Designs Through Risk Sensitivity: An Overview

Journal of Systems Science and Complexity, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Risk-Sensitive and Robust Escape Criteria

SIAM Journal on Control and Optimization, 1997
Abstract: "The problem of controlling a noisy process so as to prevent it from leaving a prescribed set has a number of interesting applications. In this paper, new criteria for this problem are considered. First, a risk-sensitive criterion for a stochastic diffusion process model is examined, and it is shown that the value is a classical solution of a
Dupuis, Paul, McEneaney, William M.
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A Robust and Sensitive Metric for Quantifying Movement Smoothness

IEEE Transactions on Biomedical Engineering, 2012
The need for movement smoothness quantification to assess motor learning and recovery has resulted in various measures that look at different aspects of a movement's profile. This paper first shows that most of the previously published smoothness measures lack validity, consistency, sensitivity, or robustness.
Sivakumar Balasubramanian   +2 more
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Robust Limits of Risk Sensitive Nonlinear Filters

Mathematics of Control, Signals, and Systems, 2001
This paper deals with deterministic and stochastic (risk sensitive) nonlinear filters. In the first part, the following deterministic filter model is considered: state equation, \(\dot x_t=f(x_t)+ \sigma(x_t) w_t\), and (accumulated) observation, \(\dot y_t=h(x_t)+v_t\), where \(w_t\) and \(v_t\) are deterministic disturbances. Applying the mean square
Wendell H. Fleming, William M. McEneaney
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Stability, Sensitivity and Robustness

2010
We are interested in the dynamic behavior of systems, more particularly we are interested in changing the behavior of a system, but before we attempt to synthesize desired behavior it pays to analyze system properties.
Pedro Albertos, Iven Mareels
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Sensitivity/Robustness Flexible Ellipticity Measures

2012
Ellipse 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 Aktas, Jovisa D. Zunic
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Sensitivity Analysis ofEAC's Robustness

The Engineering Economist, 1992
ABSTRACT Equivalent annuities are often used to compare mutually exclusive alternatives with unequal lives. This comparison assumes identical repetitions until a horizon equal to the least common multiple of the lives. Our paper examines the robustness of the equivalent annual cost (EAC) measure as the identical repetition assumption is violated ...
Ted G. Eschenbach, Alice E. Smith
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Sensitivity Reduction and Robustness

1994
In 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.

1970
PhD ; 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

2018
This 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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