Finite-horizon continuous-time stochastic optimization via a Markovian chain approximation

摘要

A simple Markov decision chain approximating a continuous-time finite-horizon optimal control problem is considered. Analytically soluble examples are treated and low computational complexity is reported. Relevance of the approximated solution to a stochastic renewable resource valuation problem is examined.