Dmitrii Silvestrov, Sergei Silvestrov
Published 2016-03-15Version 1
Asymptotic expansions with explicit upper bounds for remainders are given for stationary distributions of nonlinearly perturbed semi-Markov processes with finite phase spaces. The corresponding algorithms are based on a special technique of sequential phase space reduction, which can be applied to processes with an arbitrary asymptotic communicative structure of phase spaces.
Comments: 33 pages. This is Part II of the paper, which is a shorten and improved version off the paper arXiv:1603.03891
Asymptotic Expansions for Stationary Distributions of Nonlinearly Perturbed Semi-Markov Processes. I
Asymptotic Expansions for Stationary Distributions of Perturbed Semi-Markov Processes
Reward Algorithms for Semi-Markov Processes
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