Conference item
Distributed stochastic MPC of linear systems with parameter uncertainty and disturbances
- Abstract:
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In this paper, we propose a distributed stochastic model predictive control (DSMPC) algorithm for a team of linear subsystems sharing coupled probabilistic constraints. Each subsystem is subject to both parameter uncertainty and stochastic disturbances. To handle the probabilistic constraints, we first decompose the state trajectory into a nominal part and an uncertain part. The latter one is further divided into two parts: one is bounded by probabilistic tubes that are calculated offline by ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 470.2KB)
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- Publisher copy:
- 10.1109/ChiCC.2016.7554022
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Authors
Funding
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- Chinese Control Conference Journal website
- Volume:
- 2016-August
- Pages:
- 4312-4317
- Host title:
- Chinese Control Conference, CCC
- Publication date:
- 2016-08-01
- Acceptance date:
- 2016-04-01
- DOI:
- ISSN:
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2161-2927 and 1934-1768
- Source identifiers:
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629612
- ISBN:
- 9789881563910
Item Description
- Keywords:
- Pubs id:
-
pubs:629612
- UUID:
-
uuid:bb19585a-cc0c-4dfe-a399-e666ec2f3455
- Local pid:
- pubs:629612
- Deposit date:
- 2017-02-07
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- © Copyright 2017 IEEE - All rights reserved
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