Dynamic Dual Decomposition for Distributed Control
We show how dynamic price mechanisms can be used for decomposition and distributed optimization of control systems. A classical method to deal with optimization constraints is Lagrange relaxation, where dual variables are introduced in the optimization objective. When variables of different subproblems are connected by such constraints, the dual variables can be interpreted as prices in a market