Results 251 to 260 of about 764,096 (293)

Robust properties of risk-sensitive control

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2000
The purpose of this paper is to characterize and prove robustness properties of risk-sensitive controllers precisely. The authors mainly presented the following two results: (1) explicit bounds of the average output power in terms of the input power, (2) a stochastic version of the small gain theorem, which is expressed in terms of the risk-sensitive ...
Dupuis, Paul, James, Matthew R., Petersen, Ian   +2 more
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Robust SVM for Cost-Sensitive Learning

Neural Processing Letters, 2021
Although the performance of cost-sensitive support vector machine (CS-SVM) has been demonstrated to approximate to the cost-sensitive Bayes risk, previous CS-SVM methods still suffer from the influence of outlier samples and redundant features. Recently, a few studies have focused on separately solving these two issues by the sparse theory.
Jiangzhang Gan, Jiaye Li, Yangcai Xie
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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 and robustness of mechanism balancing

Mechanism and Machine Theory, 1998
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Robust Designs Through Risk Sensitivity: An Overview

Journal of Systems Science and Complexity, 2021
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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
Fleming, Wendell H., McEneaney, William M.   +1 more
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Robustness and sensitivity of biological models

Philosophical Studies, 2012
The 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, 2004
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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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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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