  The paper deals with the developing of the methodological backgrounds for the
modeling and simulation of complex dynamical objects. Such backgrounds allow us
to perform coordinate transformation and formulate the algorithm of its usage
for transforming the serial mathematical model into parallel ones. This
algorithm is based on partial fraction decomposition of the transfer function
of a dynamic object. Usage of proposed algorithms is one of the ways to
decrease calculation time and improve PC usage while a simulation is being
performed. We prove our approach by considering the example of modeling and
simulating of fourth order dynamical object with various eigenvalues. This
example shows that developed parallel model is stable, well-convergent, and
high-accuracy model. There is no defined any calculation errors between
well-known serial model and proposed parallel one. Nevertheless, the proposed
approach's usage allows us to reduce calculation time by more than 20% by using
several CPU's cores while calculations are being performed.
