Investigations of nonparametric models of tubular type processes

The article considers a problem of identification of multivariate systems with static connection of sub-vectors of input variable. The last circumstance leads to the new class of stochastic processes, namely, «tubular» processes. Nonparametric and parametric methods of identification are compared. The results of computer simulation are presented.