LAUSR

Robust parameter identification using parallel global optimization for a batch nonlinear enzyme-catalytic time-delayed process presenting metabolic discontinuities

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0 Published in 2017 at "Applied Mathematical Modelling"

DOI: 10.1016/j.apm.2017.01.079

Abstract: Abstract In this paper, a nonlinear enzyme-catalytic time-delayed switched dynamical system is considered to describe batch culture of glycerol bioconversion to 1,3-propanediol induced by Klebsiella pneumoniae. This system can not only predict the exponential growth… read more here.

Keywords: parameter identification; robust parameter; time; switching times ... See more keywords

Robust parameter estimation with outlier-contaminated correlated measurements and applications to aerodynamic coefficient identification

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0 Published in 2021 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2021.106995

Abstract: Abstract We consider the robust parameter estimation problem for state-space models with correlated measurements in the presence of outliers. Both the scenarios that the statistical information of the nominal noises in state-space models is known… read more here.

Keywords: parameter estimation; robust parameter; correlated measurements; coefficient identification ... See more keywords

A global solution for robust parameter design of aeronautical electrical apparatus based on interactions analysis and polynomial fitting

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0 Published in 2020 at "Chinese Journal of Aeronautics"

DOI: 10.1016/j.cja.2019.09.024

Abstract: Abstract Robust Parameter Design (RPD) has been widely applied for improving quality and reliability of products. One of the key drawbacks of applying RPD using Taguchi method is that the stable factors may not be… read more here.

Keywords: parameter design; interactions analysis; design aeronautical; polynomial fitting ... See more keywords

Robust parameter design based on response surface model under considering measurement errors

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0 Published in 2019 at "Scientia Iranica"

DOI: 10.24200/sci.2019.50622.1793

Abstract: Response surface approach is effective for robust parameter design. Previous response surface methodology assumes that the independent variables are measured without errors. However, this assumption might be violated due to the low capability of measurement… read more here.

Keywords: measurement errors; parameter design; response surface; robust parameter ... See more keywords