Conference item
Agent independent probabilistic robustness certificates for robust optimization programs with uncertain quadratic cost
- Abstract:
-
This paper focuses on a specific class of convex multi-agent programs, prevalent in many practical applications, where agents cooperate to minimize a common cost, expressed as a function of the aggregate decision and affected by uncertainty. We model uncertainty by means of scenarios and use an epigraphic reformulation to transfer the uncertain part of the cost function to the constraints. Then, by exploiting the structure of the program under study and leveraging on existing results in the s...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Publication date:
- 2021-01-11
- Acceptance date:
- 2020-07-16
- Event title:
- 59th IEEE Conference on Decision and Control (CDC 2020)
- Event location:
- Jeju Island, South Korea
- Event website:
- https://cdc2020.ieeecss.org/
- Event start date:
- 2020-12-08
- Event end date:
- 2020-12-11
- DOI:
- EISSN:
-
2576-2370
- ISSN:
-
0743-1546
- EISBN:
- 9781728174471
- ISBN:
- 9781728174488
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1121229
- Local pid:
- pubs:1121229
- Deposit date:
- 2020-07-27
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2021
- Rights statement:
- © 2021 IEEE.
- Notes:
- This paper was presented at the 59th IEEE Conference on Decision and Control, Jeju Island, South Korea, December 2020. This is the accepted manuscript version of the paper. The final version is available online from IEEE at: https://doi.org/10.1109/CDC42340.2020.9304223
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