Title :
On Prize Mechanisms in linear quadratic team theory
Author_Institution :
Lund Univ., Lund
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.
Keywords :
control system synthesis; distributed control; distributed decision making; linear quadratic control; multidimensional systems; optimisation; distributed iterative procedure; distributed linear quadratic decision problem; finite-dimensional convex optimization problem; linear quadratic team theory; optimal synthesis; Automatic control; Control system synthesis; Decision making; Distributed control; Linear approximation; Linear matrix inequalities; Optimal control; Stochastic processes; USA Councils; Uncertainty;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434594
