On embeddings and inverse embeddings of input design for regularized system identification-Reference-Cited by-同舟云学术

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On embeddings and inverse embeddings of input design for regularized system identification

Published:2023-01 Issue: Volume:147 Page:110673
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Mu Biqiang,Chen Tianshi,Kong He,Jiang Bo,Wang Lei,Wu Junfeng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference34 articles.

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

2. On kernel design for regularized lti system identification;Chen;Automatica,2018

3. Maximum entropy properties of discrete-time first-order stable spline kernel;Chen;Automatica,2016

4. On the estimation of transfer functions, regularizations and gaussian processes–revisited;Chen;Automatica,2012

5. Regularization and bayesian learning in dynamical systems: Past, present and future;Chiuso;Annual Reviews in Control,2016

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1. Application of Pseudorandom Maximum Length Binary Signals to Nonlinear Kernel-Based Estimation;2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2023-06-17

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