A design methodology for nonlinear systems containing parameter uncertainty.

G E Young; D M Auslander

doi:10.1115/1.3149656

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A design methodology for nonlinear systems containing parameter uncertainty.

G E Young·D M Auslander

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Abstract

A design methodology capable of dealing with nonlinear systems containing parameter uncertainty is presented. A generalized sensitivity analysis is incorporated which utilizes sampling of the parameter space and statistical inference. For a system with j adjustable and k nonadjustable parameters, this methodology (which includes an adaptive random search strategy) is used to determine the combination of j adjustable parameter values which maximizes the probability of the performance indices simultaneously satisfying design criteria given the uncertainty in the k nonadjustable parameters.

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Algorithms Ecological Systems, Closed Facility Design and Construction Life Support Systems Mathematics Models, Statistical Nonlinear Dynamics Statistics, Nonparametric Systems Integration Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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G E Young, D M Auslander. 1984. A design methodology for nonlinear systems containing parameter uncertainty.. https://doi.org/10.1115/1.3149656

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