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Correlation techniques to determine model form in robust nonlinear system realization/identification

Author
Stry, Greselda I.
Published
Oct 1, 1991.
Physical Description
1 electronic document
Additional Creators
Mook, D. Joseph
Online Version

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Restrictions on Access
Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access
Summary
The fundamental challenge in identification of nonlinear dynamic systems is determining the appropriate form of the model. A robust technique is presented which essentially eliminates this problem for many applications. The technique is based on the Minimum Model Error (MME) optimal estimation approach. A detailed literature review is included in which fundamental differences between the current approach and previous work is described. The most significant feature is the ability to identify nonlinear dynamic systems without prior assumption regarding the form of the nonlinearities, in contrast to existing nonlinear identification approaches which usually require detailed assumptions of the nonlinearities. Model form is determined via statistical correlation of the MME optimal state estimates with the MME optimal model error estimates. The example illustrations indicate that the method is robust with respect to prior ignorance of the model, and with respect to measurement noise, measurement frequency, and measurement record length.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 19920004876.
Accession ID: 92N14094.
NASA. Goddard Space Flight Center, Flight Mechanics(Estimation Theory Symposium, 1991; p 443-459.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 15677907