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Observability analysis for soil moisture estimation⁎

Article ID Journal Published Year Pages File Type
7115371 IFAC-PapersOnLine 2017 5 Pages PDF
Abstract
The study was performed using synthetic data. The extended Kalman filter (EKF) was chosen as the state estimator. As would be expected, the results show that the EKF performance is better in cases where the system is 'strongly' observable.
Keywords
State estimationNonlinear systemsextended Kalman filterObservabilityAgriculture
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
Preview
Observability analysis for soil moisture estimation⁎
Authors
Jannatun Nahar, Jinfeng Liu, Sirish L. Shah,
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IFAC-PapersOnLine
Journal: IFAC-PapersOnLine
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