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On semiseparable kernels and efficient implementation for regularized system identification and function estimation

  • Published:2021-10 Issue: Volume:132 Page:109682
  • ISSN:0005-1098
  • Container-title:Automatica
  • language:en
  • Short-container-title:Automatica

Author:

Chen Tianshi,Andersen Martin S.

Funder

NSFC

Shenzhen Science and Technology Innovation Committee

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference36 articles.

1. Smoothing splines and rank structured matrix: Revisiting the spline kernel;Andersen;SIAM Journal on Matrix Analysis and Applications,2020

2. Regularized nonparametric Volterra kernel estimation;Birpoutsoukis;Automatica,2017

3. Robust EM kernel-based methods for linear system identification;Bottegal;Automatica,2016

4. Introduction to Bessel functions;Bowman,1958

5. Maximum entropy kernels for system identification;Carli;IEEE Transactions on Automatic Control,2017

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