Enhanced Tracking for Nanopositioning Systems Using Feedforward/Feedback Multivariable Control Design
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1206
- Type
- D - Journal article
- DOI
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10.1109/TCST.2014.2360498
- Title of journal
- IEEE Transactions on Control Systems Technology
- Article number
- -
- First page
- 1003
- Volume
- 23
- Issue
- 3
- ISSN
- 1063-6536
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- 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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2
- Research group(s)
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B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A key output from an EPSRC grant (EP/H016600/1, £497k, 2010-2014). It proposes an innovative control algorithm for nanopositioning systems. The work includes implementation on a commercial system in collaboration with an industrial partner, Queensgate Nanopositioning Systems - a division of Elektron Technology (Alison Raby, Global Business Development Manager Queensgate (Prior Scientific), araby@prior.com, https://www.prior.com). Theoretically and experimentally, the work has been proven to be superior to existing techniques. It has led to two further EPSRC grants (IAA 087, £38k, 2015-2016; IAA 124, £46k, 2016-2017) in collaboration with Elektron Technology.
- Author contribution statement
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- Non-English
- No
- English abstract
- -