Distributed H<sub>∞</sub> Filtering for Linear and Nonlinear Systems

Abooshahab, Mohammad Ali; Hovd, Morten

doi:10.1109/ccta48906.2021.9659051

Cited by 1 publication

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, distributed consensus filtering schemes require estimators to complete consensus steps faster than local filtering time steps, imposing a time-bound burden on the network. To this end, the author of [20] first proposed a class of fully distributed H  filtering technology that uses diffusion structure to coordinate the information flow in the network and complete the fusion of local filtering, and thus have better real-time performance. Regrettably, the selection of its fusion weights has not been carefully considered.…”

Section: Introductionmentioning

confidence: 99%

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Gao,

Zhu,

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Concerning the problem of target tracking in wireless sensor networks under cyber attacks, this paper proposes a trust-based distributed H  diffusion filtering method, designed to maintain resilience against diverse types of cyber attacks. Firstly, the distributed H  filtering equation for a linear discrete system is implemented for iterative updates of state estimation and error covariance. Secondly, to address the impact of cyber attacks, the K-means-based trust set extracting algorithm is employed to identify and remove attacked untrusted nodes. Subsequently, the data from trusted nodes is fused based on a diffusion strategy, leading to recalculations of state estimation and covariance, thus improving the overall target tracking performance. Experimental results demonstrate the effectiveness of our method in resisting denial of service attacks and deception attacks, such as random, replay, and false data injection attacks. The proposed approach offers robustness and adaptability, making it suitable for practical applications in distributed sensor networks under cyber attacks.INDEX TERMS Cyber attacks, distributed H  diffusion filtering, wireless sensor network, target tracking.

show abstract

Section: Introductionmentioning

confidence: 99%

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Gao,

Zhu,

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

Distributed H_∞ Filtering for Linear and Nonlinear Systems

Cited by 1 publication

References 29 publications

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Contact Info

Product

Resources

About

Distributed H∞ Filtering for Linear and Nonlinear Systems

Cited by 1 publication

References 29 publications

Trust-Based Distributed H∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Trust-Based Distributed H∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Contact Info

Product

Resources

About

Distributed H_∞ Filtering for Linear and Nonlinear Systems

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks

Trust-Based Distributed H_∞ Diffusion Filtering for Target Tracking Under Cyber Attacks