Name
Abstract | ||
|---|---|---|
In this paper, a distributed extremum seeking control technique is proposed to solve a class of real-time optimization problems over a network of dynamic agents with unknown dynamics. Each dynamic agent measures a cost that is shared over a network. A dynamic average consensus approach is used to provide each agent with an estimate of the total network cost. Each agent contributes to the optimization of the total cost, in a cooperative fashion, under the action of an extremum seeking controller associated with each agent. The extremum seeking control technique is based on a proportional-integral approach that avoids the explicit need for time-scale separation. A dynamic network simulation is treated to demonstrate the effectiveness of the technique. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ACC.2015.7170728 | American Control Conference |
Field | DocType | ISSN |
Dynamic network analysis,Mathematical optimization,Average consensus,Control theory,Control theory,Computer science,Control engineering,Estimation theory,Control system,Network cost,Optimization problem,Total cost | Conference | 0743-1619 |
ISBN | Citations | PageRank |
978-1-4799-8685-9 | 0 | 0.34 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Guay | 1 | 283 | 41.27 |
| Vandermeulen, Isaac | 2 | 0 | 0.34 |
| Dougherty, S. | 3 | 5 | 1.44 |
| P. J. McLellan | 4 | 5 | 1.51 |