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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Morelli, E.A. |
| Copyright Year | 1998 |
| Description | Author affiliation: NASA Langley Res. Center, Hampton, VA, USA (Morelli, E.A.) |
| Abstract | Global nonlinear parameteric modeling technique is described and demonstrated. The technique uses multivariate orthogonal modeling functions generated from the data to determine nonlinear model structure, then expands each retained modeling function into an ordinary multivariate polynomial. The final model form is a finite multivariate power series expansion for the dependent variable in terms of the independent variables. Partial derivatives of the identified models can be used to assemble globally valid linear parameter varying models. The technique is demonstrated by identifying global nonlinear parametric models for nondimensional aerodynamic force and moment coefficients from a subsonic wind tunnel database for the F-16 fighter aircraft. Results show less than 10% difference between wind tunnel aerodynamic data and the nonlinear parameterized model for a simulated doublet maneuver at moderate angle of attack. Analysis indicated that the global nonlinear parametric models adequately captured the multivariate nonlinear aerodynamic functional dependence. |
| Starting Page | 997 |
| Ending Page | 1001 |
| File Size | 459984 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780345304 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.1998.703559 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Parametric statistics Aerodynamics Predictive models Polynomials Databases Analytical models NASA Assembly Military aircraft Elevators |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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