A novel robust predictive control system over imperfect networks
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9308
- Type
- D - Journal article
- DOI
-
10.1109/TIE.2016.2580124
- Title of journal
- IEEE Transactions on Industrial Electronics
- Article number
- -
- First page
- 1751
- Volume
- 64
- Issue
- 2
- ISSN
- 0278-0046
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2016
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This collaborative research between University of Warwick and University of Ulsan proposed a novel robust predictive controller with dynamic-buffers to enable a highly accurate networked control system (NCS, within 2% accuracy), disregarding communication imperfections (random delays and/or package dropouts). This work supports the development of Internet of Things and model-based NCSs, underpinning new projects on smart connected and autonomous vehicles operating on land or under water (e.g. a £1.4m tele-operated excavator research between University of Warwick, Korea Construction Equipment Technology Institute and University of Ulsan, Korea Government fund, 20162020107450). Furthermore, this led to an invited keynote speech at ICMT2017 (Vietnam).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -