Results 1 to 10 of about 1,808,653 (333)

Scalable Distributed State Estimation in UTM Context [PDF]

open access: yesSensors, 2020
This article proposes a novel approach to the Distributed State Estimation (DSE) problem for a set of co-operating UAVs equipped with heterogeneous on board sensors capable of exploiting certain characteristics typical of the UAS Traffic Management (UTM)
Marco Cicala   +3 more
doaj   +7 more sources

Multi-Area Distributed State Estimation in Smart Grids Using Data-Driven Kalman Filters

open access: yesEnergies, 2022
Low-latency data processing is essential for wide-area monitoring of smart grids. Distributed and local data processing is a promising approach for enabling low-latency requirements and avoiding the large overhead of transferring large volumes of time ...
Md Jakir Hossain, Mia Naeini
doaj   +2 more sources

Distributed State Estimation Based Distributed Model Predictive Control [PDF]

open access: yesMathematics, 2021
In this work, we consider output-feedback distributed model predictive control (DMPC) based on distributed state estimation with bounded process disturbances and output measurement noise. Specifically, a state estimation scheme based on observer-enhanced
Jing Zeng, Jinfeng Liu
doaj   +2 more sources

A Novel Distributed State Estimation Algorithm with Consensus Strategy [PDF]

open access: yesSensors, 2019
Owing to its high-fault tolerance and scalability, the consensus-based paradigm has attracted immense popularity for distributed state estimation. If a target is neither observed by a certain node nor by its neighbors, this node is naive about the target.
Jun Liu   +4 more
doaj   +2 more sources

Distributed State Estimation for Multi-Feeder Distribution Grids

open access: yesIEEE Open Journal of Instrumentation and Measurement, 2022
The real-time monitoring of electric distribution grids via state estimation is a fundamental requirement to deploy smart automation and control in the distribution system.
Marco Pau   +4 more
doaj   +4 more sources

Distribution Systems State Estimation for Distributed Generation Re-synchronization

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2017
Este trabajo presenta un algoritmo de estimación de estado diseñado para sistemas de distribución. El algoritmo de estimación se utiliza para operar una generación distribuida en modo isla o conectada a una red de distribución.
Franky Aldemar Bermúdez-Calderón   +2 more
doaj   +5 more sources

ADMM-based distributed state estimation for integrated energy system

open access: yesCSEE Journal of Power and Energy Systems, 2019
In order to have an accurate knowledge of system-wide operation states, it is necessary to perform state estimation for the integrated energy system (IES) as the basis of energy management and control.
Yaxin Du, Wen Zhang, Tingting Zhang
doaj   +2 more sources

Distributed State Estimation for Jointly Observable Linear Systems over Time-varying Networks [PDF]

open access: yesat - Automatisierungstechnik, 2023
This paper deals with a distributed state estimation problem for jointly observable multi-agent systems operated over various time-varying network topologies. The results apply when the system matrix of the system to be observed contains eigenvalues with
Shimin Wang, M. Guay
semanticscholar   +1 more source

Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework [PDF]

open access: yesat - Automatisierungstechnik, 2022
This paper investigates sensor scheduling for state estimation of complex networks over shared transmission channels. For a complex network of dynamical systems, referred to as nodes, a sensor network is adopted to measure and estimate the system states ...
Peihu Duan   +4 more
semanticscholar   +1 more source

Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinear Systems Under Event-Triggered Communication [PDF]

open access: yesIEEE Transactions on Automatic Control, 2022
This work explores the distributed state estimation problem for an uncertain, nonlinear, and continuous-time system. Given a sensor network, each agent is assigned a deep neural network (DNN) that is used to approximate the system's dynamics.
Federico M. Zegers   +3 more
semanticscholar   +1 more source

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