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A design methodology for nonlinear systems containing parameter uncertainty
1School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater 74078, USA.
Journal of Dynamic Systems, Measurement, and Control
|March 1, 1984
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.