The Possibilistic Kalman Filter: Definition and Comparison With the Available Methods
نویسندگان
چکیده
The Kalman filter (KF) is a commonly used algorithm for predicting the state variables of system. It based on model system and some measurements (observed over time) that are characterized by their own uncertainty. This article defines possibilistic KF whose main feature to predict values associated uncertainty when contributions nonrandom nature present. defined in mathematical framework possibility theory employs random-fuzzy related mathematics since these can properly represent measurement results together with A comparison available methods provided, as well final validation.
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ژورنال
عنوان ژورنال: IEEE Transactions on Instrumentation and Measurement
سال: 2021
ISSN: ['1557-9662', '0018-9456']
DOI: https://doi.org/10.1109/tim.2020.3010193