Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges-Reference-Cited by-同舟云学术

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Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges

Published:2020-08 Issue: Volume:60 Page:1-10
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Zou Lei,Wang Zidong,Hu Jun,Han Qing-Long

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference166 articles.

1. Real-time moving horizon estimation for a vibrating active cantilever;Abdollahpouri;Mech. Syst. Signal Process.,2017

2. Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers;Alessandri;Automatica,2016

3. On estimation error bounds for receding-horizon filters using quadratic boundedness;Alessandri;IEEE Trans. Autom. Control,2004

4. Moving-horizon state estimation for nonlinear discrete-time systems: new stability results and approximation schemes;Alessandri;Automatica,2008

5. Receding-horizon estimation for discrete-time linear systems;Alessandri;IEEE Trans. Autom. Control,2003

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