A recent paper proposes a novel distributed information-weighted Kalman consensus filter called IKCF for linear systems in a continuous-time setting. In this note we highlight the reasons for which IKCF is in general not locally optimal and in some cases may not attain consensus.

Comments on “Distributed information-weighted Kalman consensus filter for sensor networks”

CACACE F
2019-01-01

Abstract

A recent paper proposes a novel distributed information-weighted Kalman consensus filter called IKCF for linear systems in a continuous-time setting. In this note we highlight the reasons for which IKCF is in general not locally optimal and in some cases may not attain consensus.
Multi-agent systems; Sensor networks; Information-weighted consensus
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/3721
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