Constant feedback H/sub 2/ control of systems with statistical uncertainty

2002 ◽  
Author(s):  
Y. Boers ◽  
S. Weiland ◽  
A.A.H. Damen
Keyword(s):  
Statistical Uncertainty

Research and analysis of business management processes implemented under conditions of incomplete certainty

2020 ◽  
Author(s):  
Igor Klimenko ◽  
A. Ivlev
Keyword(s):  
Decision Making ◽  
A Priori ◽  
Business Management ◽  
Statistical Uncertainty ◽  
Management Processes ◽  
Classical Decision ◽  
Decision Making Criteria

The study carried out in this work made it possible to expand the rank scale for a priori assessment of the chosen strategy in terms of increasing the sensitivity of assessing the caution / negligence ratio using risky, as well as classical decision-making criteria under conditions of statistical uncertainty.

scholarly journals Statistical Uncertainty of DNS in Geometries without Homogeneous Directions

2021 ◽  
Vol 11 (4) ◽  
pp. 1399
Author(s):  
Jure Oder ◽  
Cédric Flageul ◽  
Iztok Tiselj
Keyword(s):  
Channel Flow ◽  
A Priori ◽  
Time Integration ◽  
Navier Stokes ◽  
Statistical Uncertainty ◽  
Time Step ◽  
Order Of Magnitude ◽  
Averaging Time ◽  
The Individual ◽  
Time Required

In this paper, we present uncertainties of statistical quantities of direct numerical simulations (DNS) with small numerical errors. The uncertainties are analysed for channel flow and a flow separation case in a confined backward facing step (BFS) geometry. The infinite channel flow case has two homogeneous directions and this is usually exploited to speed-up the convergence of the results. As we show, such a procedure reduces statistical uncertainties of the results by up to an order of magnitude. This effect is strongest in the near wall regions. In the case of flow over a confined BFS, there are no such directions and thus very long integration times are required. The individual statistical quantities converge with the square root of time integration so, in order to improve the uncertainty by a factor of two, the simulation has to be prolonged by a factor of four. We provide an estimator that can be used to evaluate a priori the DNS relative statistical uncertainties from results obtained with a Reynolds Averaged Navier Stokes simulation. In the DNS, the estimator can be used to predict the averaging time and with it the simulation time required to achieve a certain relative statistical uncertainty of results. For accurate evaluation of averages and their uncertainties, it is not required to use every time step of the DNS. We observe that statistical uncertainty of the results is uninfluenced by reducing the number of samples to the point where the period between two consecutive samples measured in Courant–Friedrichss–Levy (CFL) condition units is below one. Nevertheless, crossing this limit, the estimates of uncertainties start to exhibit significant growth.

Statistical Uncertainty and the Estimation of Log Law Parameters

2008 ◽  
Vol 134 (9) ◽  
pp. 1353-1356 ◽  
Author(s):  
Clinton L. Dancey ◽  
Panayiotis Diplas
Keyword(s):  
Statistical Uncertainty ◽  
Log Law

scholarly journals RE: "PRESENTING STATISTICAL UNCERTAINTY IN TRENDS AND DOSE-RESPONSE RELATIONS"

2002 ◽  
Vol 155 (10) ◽  
pp. 977-979 ◽  
Author(s):  
J. L. Hopper
Keyword(s):  
Dose Response ◽  
Statistical Uncertainty

Statistical uncertainty in automotive emissions testing

1999 ◽  
Vol 213 (5) ◽  
pp. 491-502 ◽  
Author(s):  
I. P. Kandylas ◽  
A. M. Stamatelos ◽  
S. G. Dimitriadis
Keyword(s):  
Statistical Uncertainty ◽  
Automotive Emissions ◽  
Emissions Testing

scholarly journals High levels of statistical uncertainty in ‘gametic’ recapture estimates of male abundance in humpback whales

2005 ◽  
Vol 295 ◽  
pp. 305-307 ◽  
Author(s):  
PJ Palsbøll ◽  
M Bérubé ◽  
EC Anderson ◽  
KK Dunham
Keyword(s):  
Humpback Whales ◽  
Statistical Uncertainty
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