Using Game Theory for Distributed Control Engineering
The purpose of this paper is to show how ideas from game theory and economics may play an important role for decentralized controller design in complex engineering systems. The focus is on coordination through prices and iterative price adjustments using a gradient method. We give a quantitative bound on adjustment rates that is sufficient to guarantee global convergence towards a Nash equilibrium