Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG-Reference-Cited by-同舟云学术

Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG

Published:2015-03-13 Issue:11 Volume:47 Page:2671-2681
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Li Yang,Wei Hua-Liang,Billings Stephen. A.,Sarrigiannis P.G.

Funder

National Natural Science Foundations of China

Research Fund for the Doctoral Program of Higher Education

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207721.2015.1014448

Reference44 articles.

1. Dynamical effects of overparametrization in nonlinear models

2. A new look at the statistical model identification

3. Nonlinear System Identification

4. Mapping non-linear integro-differential equations into the frequency domain

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