title: A design methodology for nonlinear systems containing parameter uncertainty.
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.
authors.affiliation: School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater 74078, USA.
authors.forename: G E
authors.initials: GE
authors.lastname: Young
authors.forename: D M
authors.initials: DM
authors.lastname: Auslander
mesh_terms: D000465:Algorithms; D018504:Ecological Systems, Closed; D005160:Facility Design and Construction / Q000379:methods*; D008021:Life Support Systems; D008433:Mathematics; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D018709:Statistics, Nonparametric; D018511:Systems Integration