Distributed State Estimation for Nonlinear Uncertain Systems Under Estimate-Based Round-Robin Protocols Subject to DoS Attacks

This article concerns distributed state estimation for nonlinear uncertain systems under bandwidth constraints and subject to denial-of-service (DoS) attacks. Different from most of the existing researches that assume unbounded sensing ranges and Gaussian white noises, this work focuses on distribut...

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Published inIEEE sensors journal Vol. 25; no. 19; pp. 36785 - 36799
Main Authors Lin, Xufeng, Hu, Yanyan, Li, Qing, Zhang, Xuechun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1530-437X
1558-1748
DOI10.1109/JSEN.2025.3602130

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Abstract This article concerns distributed state estimation for nonlinear uncertain systems under bandwidth constraints and subject to denial-of-service (DoS) attacks. Different from most of the existing researches that assume unbounded sensing ranges and Gaussian white noises, this work focuses on distributed sensor networks with limited sensing ranges and colored measurement noises. A transformed system model is reconstructed to eliminate the correlation between sensor noises. To optimize bandwidth utilization, the round-robin protocols based on state estimates are proposed for each node to orchestrate the transmission sequence of the components according to a fixed circular order. A novel extended distributed state estimator is constructed by fusing partial components of estimation results from neighbors transmitted through DoS-attacked channels. To address the computational infeasibility of nonlinear uncertainty, the estimator gain is obtained by minimizing the upper bound of the error covariance matrix. Furthermore, the estimation error is proved to be man-square bounded under stochastic-varying dynamic communication topology. Finally, a simulation example is presented to validate the effectiveness of the proposed algorithm.
AbstractList This article concerns distributed state estimation for nonlinear uncertain systems under bandwidth constraints and subject to denial-of-service (DoS) attacks. Different from most of the existing researches that assume unbounded sensing ranges and Gaussian white noises, this work focuses on distributed sensor networks with limited sensing ranges and colored measurement noises. A transformed system model is reconstructed to eliminate the correlation between sensor noises. To optimize bandwidth utilization, the round-robin protocols based on state estimates are proposed for each node to orchestrate the transmission sequence of the components according to a fixed circular order. A novel extended distributed state estimator is constructed by fusing partial components of estimation results from neighbors transmitted through DoS-attacked channels. To address the computational infeasibility of nonlinear uncertainty, the estimator gain is obtained by minimizing the upper bound of the error covariance matrix. Furthermore, the estimation error is proved to be man-square bounded under stochastic-varying dynamic communication topology. Finally, a simulation example is presented to validate the effectiveness of the proposed algorithm.
Author Zhang, Xuechun
Lin, Xufeng
Hu, Yanyan
Li, Qing
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SubjectTerms Bandwidths
Covariance matrix
Denial of service attacks
Denial-of-service (DoS) attacks
Denial-of-service attack
Design of experiments
distributed state estimation
Noise
Noise measurement
Nonlinear dynamical systems
Nonlinear systems
nonlinear uncertain systems
Protocols
round-robin protocols
Sensor phenomena and characterization
Sensors
State estimation
Topology
Uncertain systems
Uncertainty
Upper bounds
Title Distributed State Estimation for Nonlinear Uncertain Systems Under Estimate-Based Round-Robin Protocols Subject to DoS Attacks
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