Title :
Asymptotic solutions to weakly coupled stochastic teams with nonclassical information
Author :
Srikant, R. ; Basar, Tamer
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
fDate :
2/1/1992 12:00:00 AM
Abstract :
The authors develop a new iterative approach toward the solution of a class of two-agent dynamic stochastic teams with nonclassical information when the coupling between the agents is weak, either through the state dynamics or through the information channel. In each case, the weak coupling is characterized in terms of a small (perturbation) parameter. When this parameter value (say, ∈) is set equal to zero, the original fairly complex dynamic team, with a nonclassical information pattern, is decomposed into or converted to relatively simple stochastic control or team problems, the solution of which makes up the zeroth-order approximation (in a function space) to the team-optical solution of the original problem. The fact that the zeroth-order solution approximates the optimal cost up to at least O(∈) is shown. It is also shown that approximations of all orders can be obtained by solving a sequence of stochastic control and/or simpler team problems
Keywords :
game theory; iterative methods; stochastic processes; stochastic systems; game theory; iterative approach; nonclassical information; stochastic control; stochastic processes; team-optical solution; two-agent dynamic stochastic teams; weakly coupled stochastic teams; zeroth-order approximation; Automatic control; Control systems; Cost function; Delay effects; Equations; Iterative methods; Optimal control; Performance analysis; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on