Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 43
- Type
- D - Journal article
- DOI
-
10.1109/TAC.2016.2604683
- Title of journal
- IEEE Transactions on Automatic Control
- Article number
- -
- First page
- 2936
- Volume
- 62
- Issue
- 6
- ISSN
- 0018-9286
- Open access status
- Technical exception
- Month of publication
- -
- Year of publication
- 2016
- URL
-
https://ieeexplore.ieee.org/document/7556956
- 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)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel concept ‘probabilistic decoupling’ and a decoupling algorithm for complex stochastic nonlinear systems. This paper is significant because the traditional decoupling design has been extended using the new concept to overcome the effects of random noise for decoupling control. 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 54th international conference on decision and control, in Osaka Japan in 2015, and at Shenyang University of Technology in 2018 as an invited talk.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
