Acceleration of the parameters identification for dynamic models construction using parallelization
Construction of mathematical models for nonlinear dynamical systems using optimization requires significant computation efforts to solve the optimization task. This makes it reasonable to use parallelization of calculations for optimization task solving, especially taking into account current tendency for increasing the number of CPU cores in a single chip. The effectiveness of particular parallel implementation of optimization process is the subject of investigation in this paper.