Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach

This brief proposes a novel approach to distributed moving horizon estimation for linear discrete-time systems over a wireless sensor network. A distributed moving horizon estimator is presented by minimizing a cost function involving consensus steps on the prediction. A matrix-weighted rule for the...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2023-04, Vol.70 (4), p.1665-1669
Hauptverfasser:	Huang, Zenghong, Guo, Yuru, Peng, Hui, Xu, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	boundedness consensus Cost function Costs Discrete time systems Linear matrix inequalities Matrices (mathematics) Matrix decomposition matrix weight Moving horizon estimation Noise measurement Observability Observability (systems) observability decomposition State estimation State vectors Tracking Wireless networks Wireless sensor networks
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