A Gramian Based Approach to Nonlinearity Quantification and Model Classification
Author:
Affiliation:
1. Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712-1062
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie010155v
Reference17 articles.
1. NONLINEARITY QUANTIFICATION AND ITS APPLICATION TO NONLINEAR SYSTEM IDENTIFICATION
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