Distributed State and Input Estimation Over Sensor Networks Under Deception Attacks-Reference-Cited by-同舟云学术

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Distributed State and Input Estimation Over Sensor Networks Under Deception Attacks

Published:2023 Issue: Volume:11 Page:65418-65426
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guo Yongzhen¹^ORCID,Xia Yuanqing¹^ORCID

Affiliation:

1. School of Automation, Beijing Institute of Technology, Beijing, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10154043.pdf?arnumber=10154043

Reference30 articles.

1. Stability of consensus extended Kalman filter for distributed state estimation

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

3. Unbiased minimum-variance linear state estimation

4. Information Weighted Consensus Filters and Their Application in Distributed Camera Networks

5. Event-based state estimation of linear dynamic systems with unknown exogenous inputs

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