Sparse sensor selection for distributed systems: An <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1034" altimg="si2.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>-relaxation approach-Reference-Cited by-同舟云学术

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Sparse sensor selection for distributed systems: An l1-relaxation approach

Published:2024-07 Issue: Volume:165 Page:111670
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Zhong Yuxing,Yang Nachuan,Huang Lingying,Shi Guodong,Shi Ling

Publisher

Elsevier BV

Reference40 articles.

1. Optimal filtering;Anderson,2012

2. Sparsity promotion in state feedback controller design;Babazadeh;IEEE Transactions on Automatic Control,2016

3. Computation-communication trade-offs and sensor selection in real-time estimation for processing networks;Ballotta;IEEE Transactions on Network Science and Engineering,2020

4. Bian, Fang, Kempe, David, & Govindan, Ramesh (2006). Utility based sensor selection. In Proceedings of the international conference on information processing in sensor networks (pp. 11–18).

5. Enhancing sparsity by reweighted ℓ1 minimization;Candes;The Journal of Fourier Analysis and Applications,2008

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