A convergent algorithm for a class of optimal decentralized control problems

Abstract

An efficient globally convergent algorithm for the solution of a class of optimal decentralized control problems for linear discrete time stochastic systems is given. The presented algorithm is a generalization of a convergent modification of the Anderson-Moore method for the optimal output feedback problem to optimal decentralized control problems.