Variable Forgetting Factor-Based Adaptive Kalman Filter With Disturbance Estimation Considering Observation Noise Reduction

Variable Forgetting Factor-Based Adaptive Kalman Filter With Disturbance Estimation Considering Observation Noise Reduction

This paper addresses the influence reduction of quantization and observation noises in a disturbance observer (DOB) technique. DOB is a disturbance estimation method that makes control systems robust. However, in implementing low-resolution sensors, disturbance estimates from DOB are considerably in...

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Bibliographic Details
Main Authors: Takashi Ohhira, Akira Shimada, Toshiyuki Murakami
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive estimation
adaptive filters
active noise reduction
Kalman filters
motion control
motion estimation
Online Access:https://ieeexplore.ieee.org/document/9486918/

Internet

https://ieeexplore.ieee.org/document/9486918/

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