A Design Methodology for Nonlinear Systems Containing Parameter Uncertainty

[+] Author and Article Information
G. E. Young

School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, Okla. 74078

D. M. Auslander

Department of Mechanical Engineering, University of California, Berkeley, Calif.

J. Dyn. Sys., Meas., Control 106(1), 15-20 (Mar 01, 1984) (6 pages) doi:10.1115/1.3149656 History: Received October 06, 1982; Online July 21, 2009


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.

Copyright © 1984 by ASME
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