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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Veröffentlicht in:	Automatica (Oxford) Jg. 184; S. 112702
Hauptverfasser:	Li, Chunhui, Yu, Chengpu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2026
Schlagworte:	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-Zugang:	Volltext
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