Fractional Repetitive Control of Nanopositioning Stages for High-Speed Scanning Using Low-Pass FIR Variable Fractional Delay Filter
- Submitting institution
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University of Aberdeen
- Unit of assessment
- 12 - Engineering
- Output identifier
- 187317211
- Type
- D - Journal article
- DOI
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10.1109/TMECH.2020.2969222
- Title of journal
- IEEE/ASME Transactions on Mechatronics
- Article number
- -
- First page
- 547
- Volume
- 25
- Issue
- 2
- ISSN
- 1083-4435
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work feeds into the wider research focussed on applying fractional calculus to a number of open engineering problems. Collaboration between UoA and Shanghai Jiao Tong University (SJTU), China, supported by a Visiting Studentship funded by SJTU in 2020. Has been used to improve multi-measurement resampling algorithms enabling highly accurate measurements of multiple quantities simultaneously (North China Electric Power University, China). The fractional-order scheme proposed in the paper has been also applied to control highly uncertain nonlinear systems described using data-driven models (Texas A&M University), hence substantially broadening the range of its application.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -