Conference item
On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles
- Abstract:
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We develop a decentralized algorithm for multiagent, convex optimization programs, subject to separable constraints, where the constraint function of each agent involves only its local decision vector, while the decision vectors of all agents are coupled via a common objective function. We construct a variant of the so called Jacobi algorithm and show that, when the objective function is quadratic, convergence to some minimizer of the centralized problem counterpart is achieved. Our algorithm...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 267.0KB)
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- Publisher copy:
- 10.1109/CDC.2016.7799197
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Authors
Funding
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- Proceedings of the IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control Journal website
- Host title:
- Proceedings of the IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control
- Publication date:
- 2016-12-01
- Acceptance date:
- 2016-09-12
- DOI:
- ISSN:
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0743-1546
- Source identifiers:
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642279
Item Description
- Pubs id:
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pubs:642279
- UUID:
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uuid:5121b8c3-53e3-4da4-82b3-3c3797945323
- Local pid:
- pubs:642279
- Deposit date:
- 2016-09-12
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- © 2016 IEEE
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