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Regularized nonparametric Volterra kernel estimation

  • Published:2017-08 Issue: Volume:82 Page:324-327
  • ISSN:0005-1098
  • Container-title:Automatica
  • language:en
  • Short-container-title:Automatica

Author:

Birpoutsoukis Georgios,Marconato Anna,Lataire John,Schoukens Johan

Funder

Scientific Research (FWO-Vlaanderen)

Flemish Government (Methusalem)

Belgian Government

ERC advanced grant SNLSID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference14 articles.

1. Chen, T., & Ljung, L. (2016). On kernel design for regularized LTI system identification. arXiv preprint arXiv:1612.03542.

2. On the estimation of transfer functions, regularizations and Gaussian processes - revisited;Chen;Automatica,2012

3. Norm-dependent covariance permissibility of weakly homogeneous spatial random fields and its consequences in spatial statistics;Christakos;Stochastic Environmental Research and Risk Assessment,2000

4. Kernels for linear time invariant system identification;Dinuzzo;SIAM Journal on Control and Optimization,2015

5. A unifying view of Wiener and Volterra theory and polynomial kernel regression;Franz;Neural Computing,2006
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