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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of the Industrial Electronics Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10255262/ |
| _version_ | 1797672242567446528 |
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| author | Lei Guo Wenshuo Li Yukai Zhu Xiang Yu Zidong Wang |
| author_facet | Lei Guo Wenshuo Li Yukai Zhu Xiang Yu Zidong Wang |
| author_sort | Lei Guo |
| collection | DOAJ |
| description | 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, mathematically heterogenous, affecting the system dynamics via isomeric (additive, multiplicative, and recessive) channels, and deeply coupled with each other. In traditional filtering schemes, the multisource heterogenous disturbances are usually simplified as a lumped one so that the “single” disturbance can be either rejected or attenuated. Since the pioneering work in 2012 (Guo and Cao, 2012), a novel state estimation methodology called <italic>composite disturbance filtering</italic> (CDF) has been proposed, which deals with the multisource, heterogenous, and isomeric disturbances based on their specific characteristics. With CDF, enhanced antidisturbance capability can be achieved via refined quantification, effective separation, and simultaneous rejection and attenuation of the disturbances. In this article, an overview of the CDF scheme is provided, which includes the basic principle, general design procedure, application scenarios (e.g., alignment, localization, and navigation), and future research directions. In summary, it is expected that CDF offers an effective tool for state estimation, especially in the presence of multisource heterogeneous disturbances. |
| first_indexed | 2024-03-11T21:27:12Z |
| format | Article |
| id | doaj.art-bfaf4ac34de34dada143bcf81a2910a3 |
| institution | Directory Open Access Journal |
| issn | 2644-1284 |
| language | English |
| last_indexed | 2024-03-11T21:27:12Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Industrial Electronics Society |
| spelling | doaj.art-bfaf4ac34de34dada143bcf81a2910a32023-09-27T23:00:39ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842023-01-01438740010.1109/OJIES.2023.331727110255262Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric DisturbancesLei Guo0https://orcid.org/0000-0002-3061-2337Wenshuo Li1https://orcid.org/0000-0003-2389-8311Yukai Zhu2https://orcid.org/0000-0002-1275-3742Xiang Yu3https://orcid.org/0000-0002-9005-3733Zidong Wang4https://orcid.org/0000-0002-9576-7401Department of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaHangzhou Innovation Institute, Beihang University, Hangzhou, ChinaDepartment of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaDepartment of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaDepartment of Computer Science, Brunel University London, Uxbridge, U.K.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, mathematically heterogenous, affecting the system dynamics via isomeric (additive, multiplicative, and recessive) channels, and deeply coupled with each other. In traditional filtering schemes, the multisource heterogenous disturbances are usually simplified as a lumped one so that the “single” disturbance can be either rejected or attenuated. Since the pioneering work in 2012 (Guo and Cao, 2012), a novel state estimation methodology called <italic>composite disturbance filtering</italic> (CDF) has been proposed, which deals with the multisource, heterogenous, and isomeric disturbances based on their specific characteristics. With CDF, enhanced antidisturbance capability can be achieved via refined quantification, effective separation, and simultaneous rejection and attenuation of the disturbances. In this article, an overview of the CDF scheme is provided, which includes the basic principle, general design procedure, application scenarios (e.g., alignment, localization, and navigation), and future research directions. In summary, it is expected that CDF offers an effective tool for state estimation, especially in the presence of multisource heterogeneous disturbances.https://ieeexplore.ieee.org/document/10255262/Composite disturbance filtering (CDF)disturbance separationmultisource heterogenous disturbancessimultaneous rejection and attenuationstate estimation |
| spellingShingle | Lei Guo Wenshuo Li Yukai Zhu Xiang Yu Zidong Wang Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances IEEE Open Journal of the Industrial Electronics Society Composite disturbance filtering (CDF) disturbance separation multisource heterogenous disturbances simultaneous rejection and attenuation state estimation |
| title | Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances |
| title_full | Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances |
| title_fullStr | Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances |
| title_full_unstemmed | Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances |
| title_short | Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multisource, Heterogeneous, and Isomeric Disturbances |
| title_sort | composite disturbance filtering a novel state estimation scheme for systems with multisource heterogeneous and isomeric disturbances |
| topic | Composite disturbance filtering (CDF) disturbance separation multisource heterogenous disturbances simultaneous rejection and attenuation state estimation |
| url | https://ieeexplore.ieee.org/document/10255262/ |
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