14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper ThA4.2

Deng, Rong (Proctor and Gamble), Davies, Patricia (Purdue University), Bajaj, Anil K. (Purdue University)

System Identification Using Fractional Derivative and Hereditary Models to Characterize the Behavior of Polyurethane Foam

Scheduled for presentation during the Regular Session "Identification in Process Industry" (ThA4), Thursday, March 30, 2006, 10:50−11:10, Cummings Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Nonlinear System Identification, Frequency Domain Identification, Other

Abstract

A five-parameter fractional derivative model and a hereditary model are being studied to predict polyurethane foam's uniaxial responses under harmonic excitation. A system identification procedure is developed to estimate the model parameters. The prediction results from both models are presented and compared. Both models provide reasonably good prediction of the observed responses from different input levels at a given compression level.