Abstract:
In this paper the Markov processes with final sequence of states and unitary transition time are studied. These stochastic systems represent a generalization of zero-order Markov processes studied in [1]. The evolution time of these systems, as a function
of distribution of the states and transit matrix, is minimized using signomial and geometric programming approaches.
