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- Publisher Website: 10.23919/SICE.2018.8492684
- Scopus: eid_2-s2.0-85056731911
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Conference Paper: Distributed Robust Resource Allocation with Convex-concave Uncertain Objective Functions
| Title | Distributed Robust Resource Allocation with Convex-concave Uncertain Objective Functions |
|---|---|
| Authors | |
| Keywords | Distributed Robust Optimization Saddle Point |
| Issue Date | 2018 |
| Publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1000666/all-proceedings |
| Citation | Proceedings of 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE 2018), Nara, Japan, 11-14 September 2018, p. 368-373 How to Cite? |
| Abstract | This paper investigates the distributed robust resource allocation problem where the objective function is a convex-concave function with uncertain parameters. To guarantee the robustness, we investigate the worst-case scenario, which results in finding the saddle point of the objective function with the resource constraint satisfied. We deal with this problem by adopting a continuous-time distributed projected algorithm. A numerical example is presented to illustrate the effectiveness of the proposed algorithm. |
| Persistent Identifier | http://hdl.handle.net/10722/274460 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | LI, M | - |
| dc.contributor.author | Liu, T | - |
| dc.date.accessioned | 2019-08-18T15:02:09Z | - |
| dc.date.available | 2019-08-18T15:02:09Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Proceedings of 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE 2018), Nara, Japan, 11-14 September 2018, p. 368-373 | - |
| dc.identifier.isbn | 9784907764609 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/274460 | - |
| dc.description.abstract | This paper investigates the distributed robust resource allocation problem where the objective function is a convex-concave function with uncertain parameters. To guarantee the robustness, we investigate the worst-case scenario, which results in finding the saddle point of the objective function with the resource constraint satisfied. We deal with this problem by adopting a continuous-time distributed projected algorithm. A numerical example is presented to illustrate the effectiveness of the proposed algorithm. | - |
| dc.language | eng | - |
| dc.publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1000666/all-proceedings | - |
| dc.relation.ispartof | Conference of the Society of Instrument and Control Engineers of Japan Proceedings | - |
| dc.rights | Conference of the Society of Instrument and Control Engineers of Japan Proceedings. Copyright © IEEE. | - |
| dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | Distributed Robust Optimization | - |
| dc.subject | Saddle Point | - |
| dc.title | Distributed Robust Resource Allocation with Convex-concave Uncertain Objective Functions | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Liu, T: taoliu@eee.hku.hk | - |
| dc.identifier.authority | Liu, T=rp02045 | - |
| dc.identifier.doi | 10.23919/SICE.2018.8492684 | - |
| dc.identifier.scopus | eid_2-s2.0-85056731911 | - |
| dc.identifier.hkuros | 302037 | - |
| dc.identifier.spage | 368 | - |
| dc.identifier.epage | 373 | - |
| dc.publisher.place | United States | - |