Results 1 to 10 of about 161,212 (165)
A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks [PDF]
Sensors, 2020 In this paper, the distributed filtering problem is addressed for a class of discrete-time stochastic systems over a sensor network with a given topology, susceptible to suffering deception attacks, launched by potential adversaries, which can randomly ...
Raquel Caballero-Águila +2 more
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A privacy-preserving distributed filtering framework for NLP artifacts [PDF]
BMC Medical Informatics and Decision Making, 2019 Background Medical data sharing is a big challenge in biomedicine, which often hinders collaborative research. Due to privacy concerns, clinical notes cannot be directly shared. A lot of efforts have been dedicated to de-identifying clinical notes but it
Md Nazmus Sadat +5 more
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Технічна електродинаміка, 2022 The idea of distributed active filtration is to compensate for the currents of higher harmonics and undesirable components of the power of the main network with inverters of renewable energy converters of the connected microgrid, which have reserves of ...
М.Ю. Артеменко +4 more
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On Stability and Convergence of Distributed Filters [PDF]
IEEE Signal Processing Letters, 2021 Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. These techniques form the enabling technology of modern multi-agent systems and have gained great importance in the engineering ...
Sayed Pouria Talebi +3 more
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Sensors, 2021 In this paper, the passive filtering problem of flexible robotic manipulator is investigated over sensor networks in a distributed manner from the control system perspective.
Yidao Ji, Suiwu Zheng
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IEEE Access, 2021 This paper investigates the problem of a scalable distributed state estimation for a class of discrete time-variant systems with state-saturation, quantization effects, and two redundant channels over a sensor network.
Hossein Rezaei +3 more
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Minimum-energy distributed filtering [PDF]
53rd IEEE Conference on Decision and Control, 2014 The paper addresses the problem of distributed filtering with guaranteed convergence properties using minimum-energy filtering and $H_\infty$ filtering methodologies. A linear state space plant model is considered observed by a network of communicating sensors, in which individual sensor measurements may lead to an unobservable filtering problem ...
Mohammad Zamani, Valery A. Ugrinovskii
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Monotonic Filtering for Distributed Collection
CoRR, 2021 Distributed data collection is a fundamental task in open systems. In such networks, data is aggregated across a network to produce a single aggregated result at a source device. Though self-stabilizing, algorithms performing data collection can produce large overestimates in the transient phase. For example, in [1] we demonstrated that in a line graph,
Hunza Zainab +3 more
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Event-triggered distributed filtering for discrete-time systems with integral measurements
Systems Science & Control Engineering, 2021 This paper handles the event-triggered distributed filtering problem for a class of discrete-time systems with integral measurements over sensor networks (SNs). First of all, a plant is monitored by an SN formulated by a digraph. The integral measurement
Gang Cong +3 more
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The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint
IEEE Access, 2021 In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
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