Non-augmented state estimation for nonlinear stochastic coupling networks
type: Item
instance of: scholarly article
title: Non-augmented state estimation for nonlinear stochastic coupling networks
zbMATH Open document ID: 1357.93095
author: Yingmin Jia
author: Junping Du
author: Wenling Li
published in: Automatica
publication date: 2017-03-28T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93A15
Mathematics Subject Classification ID: 93B18
zbMATH DE Number: 6697690
zbMATH Keywords: state estimation
zbMATH Keywords: complex network
zbMATH Keywords: non-augmented approach
MaRDI profile type: Publication
full work available at URL: j.automatica.2016.12.033
OpenAlex ID: W2580492707
cites work: Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model
cites work: A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements
cites work: State estimation for two-dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays
cites work: Robust Kalman filtering for uncertain discrete-time systems
DOI: 10.1016/J.AUTOMATICA.2016.12.033
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description: scientific article; zbMATH DE number 6697690