Results 1 to 10 of about 643,482 (190)

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Minimum-Energy Distributed Filtering [PDF]

open access: yes53rd 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.
Ugrinovskii, Valery, Zamani, Mohammad
core   +2 more sources

A privacy-preserving distributed filtering framework for NLP artifacts [PDF]

open access: yesBMC 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
doaj   +2 more sources

Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems [PDF]

open access: yesSensors
The growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. Unlike traditional approaches that assume independent measurements, distributed systems generate coupled measurements containing
Bing Han   +3 more
doaj   +2 more sources

A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks [PDF]

open access: yesDiscrete Dynamics in Nature and Society, 2015
Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics.
Wangyan Li   +5 more
doaj   +4 more sources

THE UNBALANCE POWER IDENTIFICATION IN THE THREE-PHASE FOUR-WIRE POWER SUPPLY SYSTEM FOR THE NEEDS OF ITS DISTRIBUTED COMPENSATION

open access: yesТехнічна 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
doaj   +1 more source

Distributed Mode-Dependent Event-Triggered Passive Filtering for Flexible Manipulator with Semi-Markov Parameters

open access: yesSensors, 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
doaj   +1 more source

Scalable Distributed State Estimation for a Class of State-Saturated Systems Subject to Quantization Effects

open access: yesIEEE 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
doaj   +1 more source

Distributed MEMS Tunable Filters [PDF]

open access: yes31st European Microwave Conference, 2001, 2001
This paper focus on the design of MEMS distributed tunable millimeter wave filters. A two pole filter continuously tunable in bandwidth and in frequency with constant input/output impedance is described. The center frequency can be tuned from 37.8 GHz to 40.4 GHz and the bandwidth can be changed from 1.6 GHz to 1 GHz with constant return losses.
Mercier, D.   +3 more
openaire   +2 more sources

Distributed receding horizon Kalman filter [PDF]

open access: yes49th IEEE Conference on Decision and Control (CDC), 2010
In this paper a distributed version of the Kalman filter is proposed. In particular, the estimation problem is reduced to the optimization of a cost function that depends on the system dynamics and the latest output measurements and state estimates which is distributed among the local subsystems by means of dual decomposition.
Maestre J.M., Giselsson P., Rantzer A.
openaire   +3 more sources

Home - About - Disclaimer - Privacy