Cooperative distributed stochastic MPC for systems with state estimation and coupled probabilistic constraints
- Submitting institution
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University of Oxford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9585
- Type
- D - Journal article
- DOI
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10.1016/j.automatica.2015.07.025
- Title of journal
- AUTOMATICA
- Article number
- -
- First page
- 89
- Volume
- 61
- Issue
- -
- ISSN
- 0005-1098
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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-
- 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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4
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first to design distributed control systems with guarantees of satisfaction of probabilistic constraints for networked linear systems with stochastic disturbances. Probabilistic constraints are important for distributed control problems involving multiple dynamically coupled subsystems with limited communication between subsystems. The controller employs state estimation and a cooperative control objective, both of which are important for the applicability of the approach to problems in which model states are not directly measurable.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -