Results 251 to 260 of about 361,200 (307)
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International Journal of Robust and Nonlinear Control, 2023
SummaryWe introduce arisk‐sensitivegeneralization of the mixed control problem for linear stochastic systems with additive noise. Two criteria ofexponential‐quadraticform are used to generalise the usual quadratic criteria. The solutions are found in a linear state‐feedback form for both the finite and the infinite horizon formulations in terms of ...
Haochen Hua, Bujar Gashi, Moyu Zhang
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SummaryWe introduce arisk‐sensitivegeneralization of the mixed control problem for linear stochastic systems with additive noise. Two criteria ofexponential‐quadraticform are used to generalise the usual quadratic criteria. The solutions are found in a linear state‐feedback form for both the finite and the infinite horizon formulations in terms of ...
Haochen Hua, Bujar Gashi, Moyu Zhang
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Robust SVM for Cost-Sensitive Learning
Neural Processing Letters, 2021Although 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 +2 more
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Neural Predictors’ Sensitivity and Robustness
2021The results of the application of deep neural predictors depend on a multitude of factors which compose the experimental settings. We report all the specific information to ensure the reproducibility of a wide number of numerical experiments. A sensitivity analysis on some critical aspects is provided in order to prove the robustness of our setting ...
M. Sangiorgio, F. Dercole, G. Guariso
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Robust properties of risk-sensitive control
Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2000The 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 ...
Paul Dupuis +2 more
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Sensitivity and robustness of mechanism balancing
Mechanism and Machine Theory, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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.
Celia López-Ongil +9 more
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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 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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