2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/220011The main goal of this paper is to apply the so-called policy iteration algorithm (PIA) for the long run average continuous control problem of piecewise deterministic Markov processes (PDMP's) taking values in a general Borel space and with compact action space depending on the state variable. In order to do that we first derive some important properties for a pseudo-Poisson equation associated to the problem. In the sequence it is shown that the convergence of the PIA to a solution satisfying the optimality equation holds under some classical hypotheses and that this optimal solution yields to an optimal control strategy for the average control problem for the continuous-time PDMP in a feedback form.Probability60J25, 90C40, 93E20The Policy Iteration Algorithm for Average Continuous Control of Piecewise Deterministic Markov Processestext