On Linearized Formulations for Control Problems with Piecewise Deterministic Markov Dynamics
Abstract
We provide linear programming (primal and dual) formulations of discounted, infinite horizon control problems for piecewise deterministic Markov processes (PDMP) associated to stochastic gene networks. These formulations involve an infinite-dimensional set of probability measures and are obtained using viscosity solutions theory.