Name
Title | ||
|---|---|---|
Resource Allocation For A Class Of Multi-Agent Systems With Unknown Dynamics Using Extremum Seeking Control |
Abstract | ||
|---|---|---|
This paper considers the design of a distributed dual-mode extremum seeking control (a proportional-integral extremum seeking control) technique for addressing equality constrained resource allocation problems of multi-agent systems in real-time. We address problems where the structure of each agent's resource allocation function is unknown but depends on the entire resource allocation vector. We incorporate dynamics and tackle this problem for a dynamic system. A cooperative approach that permits communication between neighboring agents to minimize the unknown overall resource allocation function subject to the resource requirement is utilized. A simulation example is included to show the effectiveness of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CDC.2018.8619324 | 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) |
Field | DocType | ISSN |
Mathematical optimization,Computer science,Multi-agent system,Resource allocation | Conference | 0743-1546 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Judith Ebegbulem | 1 | 0 | 1.01 |
| M. Guay | 2 | 283 | 41.27 |