JOURNAL ARTICLE

Security distributed state estimation for nonlinear networked systems against DoS attacks

Jinliang LiuWei SuoLijuan ZhaEngang TianXiangpeng Xie

Year: 2019 Journal:   International Journal of Robust and Nonlinear Control Vol: 30 (3)Pages: 1156-1180   Publisher: Wiley

Abstract

Summary This paper is concerned with security distributed state estimation for nonlinear networked systems against denial‐of‐service attacks. By taking the effects of resource constraints into consideration, an event‐triggered scheme and a quantization mechanism are employed to alleviate the burden of network. A mathematical model of distributed state estimation is constructed for nonlinear networked systems against denial‐of‐service attacks. Sufficient conditions ensuring the exponential stability of the estimation error systems are obtained by utilizing the Lyapunov stability theory. The explicit expressions of the designed state estimators are acquired in terms of the linear matrix inequalities. Finally, a numerical example is used to testify the feasibility of the proposed method.

Keywords:
Nonlinear system Denial-of-service attack Computer science Estimator Control theory (sociology) State (computer science) Quantization (signal processing) Lyapunov stability Exponential stability Estimation Lyapunov function State estimator Stability (learning theory) Distributed computing Mathematical optimization Mathematics Engineering Algorithm Control (management) Artificial intelligence The Internet

Metrics

81
Cited By
9.42
FWCI (Field Weighted Citation Impact)
51
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications

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