  In this paper, we consider the convergence rate with respect to Wasserstein
distance in the invariance principle for sequential dynamical systems. We
utilize and modify the techniques previously employed for stationary sequences
to address our non-stationary case. Given some mild assumptions, we can apply
our result to a large class of dynamical systems, including sequential
$\beta_n$-transformations, piecewise uniformly expanding maps with additive
noise in one-dimensional and multidimensional case, and so on.
