  In this paper we will prove various probabilistic limit theorems for some
classes of distance expanding sequential dynamical systems (SDS). Our starting
point here is certain sequential complex Ruelle-Perron-Frobenius (RPF) theorems
which were proved in \cite{book} and \cite{ASIP me} using contraction
properties of a complex version of the projective Hilbert metric developed in
\cite{Rug}. We will start from the growth rate of the variances of the
underlying partial sums. This is well understood in the random dynamics setup,
when the maps are stationary, but not in the SDS setup, where various growth
rates can occur. Some of our results in this direction rely on certain type of
stability in these RPF theorems, which is one of the novelties of this paper.
Then we will provide general conditions for several classical limit theorems to
hold true in the sequential setup. Some of our general results mostly have
applications for composition of random non-stationary map, while the conditions
of the other results hold true for general type of SDS. In the latter setup,
results such as the Berry-Esse\'en theorem and the local central limit theorem
were not obtained so far even for independent but not identically distributed
maps, which is a particular case of the setup considered in this paper.

Dynamical Systems;Probability