Hybrid Physics-Based Adaptive Kalman Filter State Estimation Framework

Hybrid Physics-Based Adaptive Kalman Filter State Estimation Framework

State-of-the art physics-model based dynamic state estimation generally relies on the assumption that the system’s transition matrix is always correct, the one that relates the states in two different time instants, which might not hold always on real-life applications. Further, while making such as...

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Bibliographic Details
Main Authors: Arturo S. Bretas, Newton G. Bretas, Julio A. D. Massignan, João B. A. London Junior
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
measurement innovation
asymmetry index
Kalman Filter
anomaly detection
measurement gross errors
load dynamics
Online Access:https://www.mdpi.com/1996-1073/14/20/6787

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https://www.mdpi.com/1996-1073/14/20/6787

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