EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 42
- Type
- D - Journal article
- DOI
-
10.1109/TAC.2017.2742661
- Title of journal
- IEEE Transactions on Automatic Control
- Article number
- -
- First page
- 1155
- Volume
- 63
- Issue
- 4
- ISSN
- 0018-9286
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/document/8013811
- 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
-
4
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a performance enhancement approach for complex stochastic systems. This paper is significant because a new perspective of stochastic system from the view of information has been supplied, also the practical applications have been developed using the presented algorithm for both mechanical system and industrial process, such as ironmaking process, papermaking process, etc. The paper is part of the PhD thesis of the first author, which has now been successfully completed. Material related to this paper has been presented at the UKACC international conference on control, in Belfast in 2016.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
