Results 261 to 270 of about 1,819,835 (332)
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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
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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
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Resilient Event-Triggered Distributed State Estimation for Nonlinear Systems Against DoS Attacks
IEEE Transactions on Cybernetics, 2021This 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
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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
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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
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Distribution system state estimation
IEEE Transactions on Power Systems, 1995A 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
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Distributed State Estimation for Uncertain Linear Systems With a Recursive Architecture
IEEE Transactions on Network Science and Engineering, 2022This paper investigates distributed state estimation for a class of discrete-time linear systems, with dynamics subject to parameter perturbation and Gaussian noise simultaneously. A sensor network is adopted, where each sensor estimates the system state
Peihu Duan +3 more
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State Estimation for Smart Distribution Substations
IEEE Transactions on Smart Grid, 2012Summary form only given. In the upcoming smart grid environment many more measurements will be available, which can be locally processed by the so-called substation state estimator (SSE). Distribution substations serve energy to a large set of feeders, each one delivering power to a certain number of secondary transformers. In this context, the SSE may
Catalina Gomez-Quiles +2 more
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Distribution state estimation performances with different state vectors
2013 IEEE Grenoble Conference, 2013Electrical distribution systems of the future must be prepared to face envisaged environmental, technical and even economical constraints: increasing the number of connections of DG, changes in the voltage profile along the feeders, modifications of power losses among others.
Besanger, Yvon +3 more
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International Journal of Robust and Nonlinear Control, 2021
Disturbances and attacks co‐exist widely in networked systems. Distributed state estimation of networked systems in the simultaneous presence of disturbances and attacks has been widely recognized as a challenging issue.
Xiaoyu Guo, Songyin Cao, Z. Ding
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Disturbances and attacks co‐exist widely in networked systems. Distributed state estimation of networked systems in the simultaneous presence of disturbances and attacks has been widely recognized as a challenging issue.
Xiaoyu Guo, Songyin Cao, Z. Ding
semanticscholar +1 more source
Distribution System Distributed Quasi-Dynamic State Estimator
IEEE Transactions on Smart Grid, 2016With increasing deployment of smart meters and other smart grid sensors in distribution systems, the amount of available measurements has been growing. This change enables implementation of comprehensive distribution system state estimators, a basic tool that provides the real-time model and operating conditions of the distribution network.
Renke Huang +3 more
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