Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling

Author:

Decuyper J.,Tiels K.,Runacres M.C.,Schoukens J.

Funder

Fund for Scientific Research

Swedish Research Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference34 articles.

1. System Identification: A Frequency Domain Approach;Pintelon,2012

2. E.W. Bai, K. Li, W. Zhao, On variable selection of a nonlinear non-parametric system with a limited data set: a stepwise algorithm, in: Preprints of the 19th World Congress The International Federation of Automatic Control, 2014

3. Nonlinear System Identification: NARMAX Methods in the Time, Frequency and Spatio-Temporal Domains;Billings,2013

4. Decomposing multivariate polynomials with structured low-rank matrix completion;Usevich,2014

5. Cross-term elimination in parallel Wiener systems using a linear input transformation;Schoukens;IEEE Trans. Instrum. Meas.,2012

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