We consider a class of -valued stochastic control systems, with possibly unbounded costs. The systems evolve according to a discrete-time equation (t = 0,1,... ), for each fixed n = 0,1,..., where the are i.i.d. random vectors, and the Gₙ are given functions converging pointwise to some function as n → ∞. Under suitable hypotheses, our main results state the existence of stationary control policies that are expected average cost (EAC) optimal and sample path average cost (SPAC) optimal for the limiting control system (t = 0,1,...).
@article{bwmeta1.element.bwnjournal-article-doi-10_4064-am28-1-8, author = {Nadine Hilgert and Onesimo Hern\'andez-Lerma}, title = {Limiting average cost control problems in a class of discrete-time stochastic systems}, journal = {Applicationes Mathematicae}, volume = {28}, year = {2001}, pages = {111-123}, zbl = {1016.93073}, language = {en}, url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-doi-10_4064-am28-1-8} }
Nadine Hilgert; Onesimo Hernández-Lerma. Limiting average cost control problems in a class of discrete-time stochastic systems. Applicationes Mathematicae, Tome 28 (2001) pp. 111-123. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_4064-am28-1-8/