Title
Decoupling multivariate polynomials for nonlinear state-space models
Abstract
Multivariate polynomials are omnipresent in black-box modelling. They are praised for their flexibility and ease of manipulation yet typically fall short in terms of insight and interpretability. Hence, often an alternative representation is desired. Translating the coupled polynomials into a decoupled form, containing only univariate polynomials has hence become a popular option. In this letter, ...
Year
DOI
Venue
2019
10.1109/LCSYS.2019.2916955
IEEE Control Systems Letters
Keywords
Field
DocType
Jacobian matrices,Matrix converters,State-space methods,Matrix decomposition,Mathematical model,Indexes
Applied mathematics,Interpretability,Nonlinear system,Polynomial,Matrix decomposition,Decoupling (cosmology),Univariate,State space,Mathematics,Duffing equation
Journal
Volume
Issue
ISSN
3
3
2475-1456
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jan Decuyper100.34
Philippe Dreesen2196.91
Johan Schoukens337658.12
Mark C. Runacres400.34
koen tiels5143.15