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Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach

IEEE Transactions on Network Science and Engineering, 2023
This paper investigates the issue of distributed state estimation for discrete-time systems over sensor networks. To reduce the computational complexity of each sensor, the system state is decomposed by the substate decomposition approach based on the ...
Yong Xu   +4 more
semanticscholar   +1 more source

Distributed State Estimation for Mixed Delays System Over Sensor Networks With Multichannel Random Attacks and Markov Switching Topology

IEEE Transactions on Neural Networks and Learning Systems, 2022
This article deals with the distributed state estimation for mixed delays system under unknown attacks. A new multichannel random attack model is established for the first time, where network attacks are considered to exist in three channels: the target ...
W. Qian, Di Lu, Simeng Guo, Yunji Zhao
semanticscholar   +1 more source

Distributed State Estimation With Colored Noises

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
Most of the existing studies mainly consider the process and measurement noise as Gaussian white noises, while a large number of systems are influenced by colored noises in the practical applications.
Yue Luo, Jiayu Zhou, Wen Yang
semanticscholar   +1 more source

Resource-efficient and secure distributed state estimation over wireless sensor networks: a survey

International Journal of Systems Science, 2021
Wireless sensor networks (WSNs) are extensively adopted for remote monitoring and tracking scenarios, such as battlefield surveillance, target detection and tracking, traffic condition detection, power system monitoring and health monitoring, thanks to ...
X. Jia
semanticscholar   +1 more source

Distributed State Estimation for Continuous-Time Linear Systems With Correlated Measurement Noise

IEEE Transactions on Automatic Control, 2022
In this article, the problem of distributed state estimation for a continuous-time linear system with a sensor network is investigated, where each sensor can only communicate with its neighbors and contains time-correlated measurement noise.
Peihu Duan   +4 more
semanticscholar   +1 more source

Resilient Distributed State Estimation Under Stealthy Attack

IEEE Transactions on Information Forensics and Security, 2022
Network security issues are significant for cyber-physical systems while existing wireless networks are vulnerable to cyber-attacks. This paper proposes a novel detector for stealthy attacks in distributed consensus-based filtering, which has fewer ...
Yujiao Lv   +3 more
semanticscholar   +1 more source

Event-Triggered Distributed State Estimation Under Unknown Parameters and Sensor Saturations Over Wireless Sensor Networks

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
In this brief, the distributed state and parameter estimation problem is addressed for a class of discrete-time nonlinear systems subject to sensor saturations over wireless sensor networks.
A. Basit, M. Tufail, M. Rehan
semanticscholar   +1 more source

Resilient Event-Triggered Distributed State Estimation for Nonlinear Systems Against DoS Attacks

IEEE Transactions on Cybernetics, 2021
This article investigates the resilient event-triggered (ET) distributed state estimation problem for nonlinear systems under denial-of-service (DoS) attacks.
Yan Liu, Guang‐Hong Yang
semanticscholar   +1 more source

Consensus-Based Distributed State Estimation Over Sensor Networks With Encoding-Decoding Scheme: Accommodating Bandwidth Constraints

IEEE Transactions on Network Science and Engineering, 2022
In this article, the consensus-based distributed estimation problem is investigated for linear time-invariant systems over sensor networks, where the sensors are required to estimate the system states in a cooperative manner through communication.
Chen Gao   +4 more
semanticscholar   +1 more source

Distribution system state estimation

IEEE Transactions on Power Systems, 1995
A three-phase distribution system state estimation algorithm is proposed in this paper. The normal equation method is used to compute the real-time states of distribution systems modeled by their actual a-b-c phases. A current based formulation is introduced and compared with other formulations.
C.N. Lu, J.H. Teng, W.-H.E. Liu
openaire   +1 more source

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