Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements-Reference-Cited by-同舟云学术

Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements

Published:2023 Issue: Volume:9 Page:110-122
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Han Fei¹^ORCID,Wang Zidong²^ORCID,Dong Hongli³^ORCID,Yi Xiaojian⁴^ORCID,Alsaadi Fuad E.⁵^ORCID

Affiliation:

1. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China

2. Department of Computer Science, Brunel University London, Uxbridge, U.K.

3. Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya, China

4. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

5. Communication Systems and Networks Research Group, Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Institutional Fund Projects

Ministry of Education and King Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6884276/10040263/10045023.pdf?arnumber=10045023

Reference50 articles.

1. Adaptive Tracking Control of A Class of First-Order Systems With Binary-Valued Observations and Time-Varying Thresholds

2. Recursive projection algorithm on FIR system identification with binary-valued observations

3. Finite-horizon H ∞ -consensus control for multi-agent systems with random parameters: The local condition case

4. Partial-Nodes-Based Scalable H∞-Consensus Filtering With Censored Measurements Over Sensor Networks

5. Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects

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