Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother-Reference-Cited by-同舟云学术

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Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother

Published:2022-08 Issue: Volume:142 Page:110365
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Liu Siyu,Zhang Xiao,Xu Ling,Ding Feng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference42 articles.

1. A lightweight and practical anonymous authentication protocol based on bit-self-test PUF;An;Electronics,2022

2. Distributions of the Kullback–Leibler divergence with applications;Belov;British Journal of Mathematical and Statistical Psychology,2011

3. EM-based identification of continuous-time ARMA models from irregularly sampled data;Chen;Automatica,2017

4. Global convergence of the EM algorithm for ARX models with uncertain communication channels;Chen;Systems & Control Letters,2020

5. Identification of two-dimensional causal systems with missing output data via EM algorithm;Chen;IEEE Transactions on Industrial Informatics,2021

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