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Distributed consensus-based estimation with unknown inputs and random link failures

Published:2020-12 Issue: Volume:122 Page:109259
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Yu Dongdong,Xia Yuanqing,Li Li,Zhu Cui

Funder

National Natural Science Foundation of China

National Natural Science Foundation Projects of International Cooperation and Exchanges of China

Beijing Natural Science Foundation, China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference29 articles.

1. Distributed Kalman filtering over sensor networks with unknown random link failures;Battilotti;IEEE Control Systems Letters,2018

2. Kullback–Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability;Battistelli;Automatica,2014

3. A distributed Kalman filter with event-triggered communication and guaranteed stability;Battistelli;Automatica,2018

4. Distributed covariance intersection fusion estimation for cyber-physical systems with communication constraints;Chen;IEEE Transactions on Automatic Control,2016

5. Distributed Kalman filtering for time-varying discrete sequential systems;Chen;Automatica,2019

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1. Distributed fusion estimator for networked multi-rate multi-sensor systems with unknown inputs;2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA);2024-05-10

2. Sequential hybrid consensus filtering with transmission delays and failures;Journal of the Franklin Institute;2024-05

3. Mean-square exponential convergence for Byzantine-resilient distributed state estimation;Automatica;2024-05

4. Distributed simultaneous state-input estimation over sensor networks under quantized communication;Automatica;2024-05

5. Distributed Secure Filtering Against Eavesdropping Attacks in SINR-Based Sensor Networks;IEEE Transactions on Information Forensics and Security;2024

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