Distributed identification of stable large-scale isomorphic nonlinear networks using partial observations

Distributed parameter identification in large-scale isomorphic nonlinear multi-agent networks encounters challenges due to inherent nonlinear dynamics and partial observations. Ensuring stability is crucial for stable parameter identification, especially under uncertainties in data and models. To ad...

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Bibliographic Details

Published in:	Automatica (Oxford) Vol. 184; p. 112702
Main Authors:	Li, Chunhui, Yu, Chengpu
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Distributed particle filtering Large-scale isomorphic nonlinear networks Particle consensus-based expectation maximization algorithm Particle consensus-based expectation maximization algorithm Distributed particle filtering Large-scale isomorphic nonlinear networks
ISSN:	0005-1098
Online Access:	Get full text
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