  The goal of this paper is to describe conditions which guarantee a central
limit theorem for random variables, which distributions are controled by hidden
Markov chains. We proved that when a Markov chain is ergodic and random
variables fullfiled Lindeberg's condition then the Central Limit Theorem is
true.
