Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach*

Author:

González Rodrigo A.,Tiels Koen,Oomen Tom

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

General Medicine

Reference18 articles.

1. EM-based identification of ARX systems having quantized output data;Aguëro;IFAC-PapersOnLine,2017

2. The connection between Bayesian estimation of a Gaussian random field and RKHS;Aravkin;IEEE Trans. on Neural Networks and Learning Systems,2014

3. Systems with Lebesgue sampling;Åström,2003

4. The normal law under linear restrictions: simulation and estimation via minimax tilting;Botev;Journal of the Royal Statistical Society: Series B (Statistical Methodology),2017

5. A new kernel-based approach to system identification with quantized output data;Bottegal;Automatica,2017

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