A design methodology for nonlinear systems containing parameter uncertainty.
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.
Young
G E
GE
School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater 74078, USA.
Auslander
D M
DM
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