Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances

State estimation has long been a fundamental problem in signal processing and control areas. The main challenge is to design filters with ability to reject or attenuate various disturbances. With the arrival of Big Data era, the disturbances of complicated systems are physically multisource, mathema...

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Bibliographic Details
Main Authors: Lei Guo, Wenshuo Li, Yukai Zhu, Xiang Yu, Zidong Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10255262/