Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1252
- Type
- D - Journal article
- DOI
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10.1016/j.engappai.2015.07.008
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 313
- Volume
- 45
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- 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
-
3
- Research group(s)
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D - RCEEE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A key output of a joint PhD programme and collaborative research project with the State Key Laboratory of Automobile Dynamic Simulation and Control, Jilin University, China on SI engine modelling, simulation, control and monitoring. The project was supported by the Natural Science Foundation of China (Ref. 51075175, PI: YTT, £75k, 2012-2016), and the Chinese Education Ministry (£40k, 2012-2015). Experimental verification of data was conducted in the First Automobile Corporation of China (Prof H. Chen, Director of the State Key Laboratory: Chenh@jlu.edu.cn).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
