Limit theorems for stochastic processes are an important part of probability theory and
mathematical statistics and one model that has attracted the attention of many researchers …

Evolution of Systems in Random Media is an innovative, application-oriented text that
explores stochastic models of evolutionary stochastic systems in random media. Specially …

1. Differential equations with random right-hand sides and impulsive effects. 1.1. An
impulsive process as a solution of an impulsive system. 1.2. Dissipativity. 1.3. Stability and …

The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-
Markov processes with finite phase spaces. These methods are based on special time …

This article considers new approaches in queuing theory associated with mathematical
modelling and analysis of contemporary computer systems and networks using shared …

Bibliography Page 1 Bibliography [1] Abadov, ZA (1984) Asymptotical Expansions with Explicit
Estimation of Constants for Exponential Moments of Sums of Random Variables Defined on a …

A special class of processes with discrete interference of chance-switching processes (SP),
is introduced. The limit theorems for these processes in the case of 'fast'switching (averaging …

New algorithms for computing asymptotic expansions for stationary distributions of
nonlinearly perturbed semi-Markov processes are presented. The algorithms are based on …

A new approach is suggested to study transient and stable regimes in overloading retrial
queueing systems. This approach is based on limit theorems of averaging principle and …

This paper obtains new stability estimates on infinite time interval and limit stability estimates
for a finite homogeneous continuous-time Markov chain with a unique stationary distribution …