Distributed Estimation and Control in Networked Systems [PDF]
Rapid advances in information processing, communication and sensing technologies have enabled more and more devices to be provided with embedded processors, networking capabilities and sensors.
Gupta, Vijay, Vijay Gupta
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Distribution Systems State Estimation for Distributed Generation Re-synchronization
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 +3 more sources
Distributed robust vehicle state estimation [PDF]
A distributed estimation approach based on opinion dynamics is proposed to enhance the reliability of vehicle corners' velocity estimates. The corners' estimates, which are obtained from a Kalman filter, is formed by integrating the model-based and kinematic-based velocity estimation approaches.
Ehsan Hashemi +5 more
openaire +2 more sources
Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays [PDF]
This is the post-print version of the Article. The official published version can be accessed from the links below - Copyright @ 2012 ACM.This article is concerned with a new distributed state estimation problem for a class of dynamical systems in sensor
Liu, X, Liang, J, Wang, Z, Shen, B
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Distributed State Estimation with Communication of Observations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ran, André C.M., Van Schuppen, J.H.
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Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements [PDF]
Copyright [2011] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liu, X +5 more
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Distributed Moving Horizon Fusion Estimation for Nonlinear Constrained Uncertain Systems
This paper studies the state estimation of a class of distributed nonlinear systems. A new robust distributed moving horizon fusion estimation (DMHFE) method is proposed to deal with the norm-bounded uncertainties and guarantee the estimation performance.
Shoudong Wang, Binqiang Xue
doaj +1 more source
Distributed State Estimation of Multi-region Power System based on Consensus Theory
Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced ...
Shiwei Xia +6 more
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State estimation for discrete-time neural networks with Markov-mode-dependent lower and upper bounds on the distributed delays [PDF]
Copyright @ 2012 Springer VerlagThis paper is concerned with the state estimation problem for a new class of discrete-time neural networks with Markovian jumping parameters and mixed time-delays.
Liu, Y, Liu, X, Wang, Z
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Parallelized particle filtering for freeway traffic state tracking [PDF]
We consider parallelized particle filters for state tracking (estimation) of freeway traffic networks. Particle filters can accurately solve the state estimation problem for general nonlinear systems with non-Gaussian noises.
Lendek, Z. +6 more
core +4 more sources

