Name
Abstract | ||
|---|---|---|
This letter develops a distributed saddle-flow algorithm to regulate the output of a networked system-modeled as static linear map-to the solution of a constrained convex optimization problem. The algorithm is “feedback-based”, in the sense that measurements of the network output are leveraged in the saddle-flow updates to avoid a complete (oracle-based) knowledge of the network map. In the distri... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCSYS.2019.2919486 | IEEE Control Systems Letters |
Keywords | Field | DocType |
Actuators,Sensors,Optimization,Symmetric matrices,Knowledge engineering,Physical layer,Power systems | Saddle,Mathematical optimization,Computer science,Electric power system,Symmetric matrix,Physical layer,Voltage regulation,Convex optimization,Linear matrix inequality,Actuator | Journal |
Volume | Issue | ISSN |
3 | 4 | 2475-1456 |
Citations | PageRank | References |
3 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-Yao Chang | 1 | 5 | 0.78 |
| marcello colombino | 2 | 51 | 6.70 |
| Jorge Cortes | 3 | 1046 | 113.95 |
| Emiliano Dall'Anese | 4 | 360 | 38.11 |