Abstract
A distributed linear quadratic decision problem is considered, where several different controllers act as a team, but with access to different measurements. Previous contributions have shown how to state the optimal synthesis as a finite-dimensional convex optimization problem.
This paper shows that the dynamic behavior can be optimized by a distributed iterative procedure, without any need for a globally available model or
centralized coordination. An illustrative model with three agents is considered.
This paper shows that the dynamic behavior can be optimized by a distributed iterative procedure, without any need for a globally available model or
centralized coordination. An illustrative model with three agents is considered.
| Original language | English |
|---|---|
| Pages | 3586-3590 |
| Publication status | Published - 2007 |
| Event | 46th IEEE Conference on Decision and Control, 2007 - New Orleans, LA, New Orleans, LA, United States Duration: 2007 Dec 12 → 2007 Dec 14 Conference number: 46 http://www.ieeecss.org/CAB/conferences/cdc2007/ |
Conference
| Conference | 46th IEEE Conference on Decision and Control, 2007 |
|---|---|
| Country/Territory | United States |
| City | New Orleans, LA |
| Period | 2007/12/12 → 2007/12/14 |
| Internet address |
Subject classification (UKÄ)
- Control Engineering